Indian Beer Market free essay sample

We chose to study this industry to learn about how these unconventional marketing concepts are employed in the industry*. OBJECTIVE This project aims to study the Marketing Strategies adopted in the Indian Beer Industry and suggest improvements. During the course of our project we aim to, ?Study the macro environment ?Analyze the various marketing concepts being applied in the present scenario in the Indian Beer Industry ?Gain marketing insights by examining marketing strategies and plans already in place Marketing research Field survey involving consumers and business houses, secondary data from newspapers, magazines, beer industry, online resources etc. ?Means of Promotion: Managing Mass Communication ?Predict trends for consumer preferences in future ?Suggesting improvements: Segmenting, Targeting , Positioning ; Competitor analysis In this report we present an analysis of the data collected and the industry and competitor analysis. *Ref : www. euromonitor. com

A Slice of American Pie essays

A Slice of American Pie essays In its wake, it has mystified, thrilled, consumed, enlightened, and even prognosticated the future. American Pie, known to most as a song sung by Don McLean, is at heart something of an epic poem, which has been analyzed by millions for 30 years. It has been suggested by some that the song is an explanation of McLeans departure from Rock and Roll or as a warning from God to America. It has been translated into several parodies. The New Standard Encyclopedia defines an art epic poem as ... built up about some great theme or thought that is universal, or at least of national, importance. (E-190) Buddy Holly died on February 3,1959 in a plane crash, and, for a moment, the United States grieved. McLean once suggested that the song is biographical in nature and that it was a look at the death of Buddy Holly through his (McLeans) memories. However McLean had this to say about his song in his Starry Starry Night video in 2000, Ive never analyzed the lyrics to the song. Theyre beyond analysis. Theyre poetry. The language of the song is riddled with symbolism, imagery, and figures of speech. For over 30 years people have been analyzing, questioning, and seeking meaning in the song that McLean calls poetry and has not sought to analyze himself. One analyst, by the name of Saul Levitt, suggests, The song is McLeans justification for giving up rock and roll and turning to folk music. He had been touring for about a year with Pete Seeger...its evident that the song is about McLean giving up rock and roll since the death of such great stars... Another analyst, by the name of Roy Taylor, has a very different interpretation of McLeans song. Mr. Taylor suggests, American Pie, is a detailed prophecy, concerning Americas future, and a funeral hymn, written in a dirge foretelling America&apos...

The Lost German Slave Girl by John Bailey Essay Example | Topics and Well Written Essays - 750 words

The Lost German Slave Girl by John Bailey - Essay Example German families in the New Orleans area claimed that Sally was in fact the child of immigrants who had died and that the girl was subsequently indentured by an unscrupulous owner and later sold into slavery. The main question raised by the piece is whether Sally really was a German girl or whether she was just a clever slave who was grabbing at her once chance for freedom. The fact that the color of a person's skin was the basis of whether they could be enslaved or not shows the racism that was at the heart of this culture. It is fascinating that the case revolved around the fact of whether Sally was German, and thus not deserving of slavery rather than the fact that slavery was morally objectionable per se. The idea that color and slavery were indelibly linked was starting to be threatened by the inter-breeding that had been occurring between slaves and whites for generations. By this time, just a decade before the American Civil War would end slavery, many slaves looked as white as their masters. Thus the very basis of slavery - the supposed inferiority of black races - was called into question by the continuum of color that then existed in America. The lack of certainty as to race was reflected within the legal system, in which slaves were regarded as property and yet, paradoxically, could also have legal representation within trials. Thus if a slave was accused of murder he/she had the right to legal representation, although as the author shows, the degree to which this right was enforced depended very much upon individual circumstances and the judge who was available. Bailey essentially shows a society that is ripe for change. The mysterious origin of Sally Miller reflected the complexity of race that was characteristic of America by the mid nineteenth-century. The simple duality of "slave" and "master" was increasingly being challenged on an ethical and legal basis. Slaves could buy their freedom and many tried to make their way to Northern states where slavery was already abolished. The idea that the identity of a person was set as "slave" or "non-slave" is shown to be too simplistic by the case of Sally Miller. If Miller was indeed of German origin, then a person could move from non-slave to slave because of bad luck and unethical businessmen. If a slave was lucky, earned enough money or had an enlightened master, he could become a non-slave. To conclude, the fact that the case was never resolved in a concrete manner shows the history is often not as certain as many people would like. The actual origin of Sally Miller will probably never be known now, any more than it was proved in the court case. What emerges is the terrible manner in which immigrants were treated in America at this time, even those from supposedly privileged countries such as Germany. The book also shows the complex legal environment of America at the time, and gives a view of the legal position of slaves that has seldom been considered before. Ultimately the book shows the mystery of human nature and identity, especially racial identity. If a slave is more white than her master, what is the basis for the slavery if it is based upon the supposed superiority of whites over blacks The answer was that slavery was based upon cruelty and exploitation rather than any rationally identified differences between races.

Choose an invention.describe and evaluate the effects it has had on a Essay

Choose an invention.describe and evaluate the effects it has had on a particular area of human life - Essay Example Computers have indeed done much to better the way people happen to do things. In that respect, it is really heartening to acknowledge that healthcare is an aspect of human life that has been totally revolutionized by the advent of computers, and computers have actually totally transformed the modern healthcare.1 It is a fact that in the area of healthcare, health records of patients do play a very important role. In that context, computers have totally redefined the record keeping in the field of healthcare.2 Health records of patients are not only vital for management of maladies of individual patients, but they are also important to predict larger societal healthcare trends. Before the invention of computers the record keeping in healthcare happened to be manual. It was not only very tedious to register and maintain the records of thousands of patients, but it was also utterly difficult to retrieve the health records of individual patients when required. However, with the invention of computers, things have totally changed. Computers have digitalized the recording and filing of patient records, thereby making it much more efficient, practical and faster. Computer generated and stored patient records not only happen to be more lasting and reliable, but it is much easier to retrieve the rec ords of specific patients. In fact with the computer assisted record keeping, it takes only a second to retrieve the health records of any patient. The computer assisted record keeping also assures that in the event of any man made or natural calamity, the health records of patients remain safe and secure at the offsite data storage locations. The other way in which the computers have positively influenced healthcare is by empowering the patients and by extending the reach of healthcare. In the earlier times even the most basic healthcare information was not easily available. However, with the advent of computers in the area of healthcare, computers have become a readily

Ethical and Legal Issues in Health Care Practice and Policy Essay

Ethical and Legal Issues in Health Care Practice and Policy - Essay Example question of abortion, perhaps one of the most controversial topics in the field, has always been a subject of discussion, given its complex legal and ethical implications, pitting health care professionals against each other and against members of the public. Whereas it may be legal for health care practitioners to perform an abortion today, other health care professionals and members of the public still consider it unethical to do so, thereby creating an ethical dilemma in the field (Wallace, Wiegand & Warren 1997, p.586). Apart from that, other ethical dilemmas emerge at the end of life point, when health care professionals have to make the critical decision of switching off the life-support machines to permit death to occur. As if that is not enough, the issues of confidentiality, patient/practitioner relationship as well as matters to do with consent as in the treatment of underage patients often present numerous ethical dilemmas to health care professionals (Greenwood, 2014). Th is paper explores the ethical and legal issues that are relevant to health care practice and policy while incorporating critical application of selected theoretical perspectives applicable to ethics in health. Relevant ethical arguments and legal perspectives will be applied to a specific practice situation in reference to the adult learning theory of Knowles (1990). Eventually, this paper will explore the issue related to ethical and legal issues in health care incorporating professional body guidance (NMC code) and legal acts, as well as the views of theorists and philosophers. The term â€Å"ethics† has been conceptualized as â€Å"social values†, â€Å"morals† or â€Å"principles† that enable people in distinguishing between the acceptable and unacceptable social behaviour (Corning 2002, p.6); ethical values form the basis for social interaction because they are deeply entrenched in people. Health care professionals need to know ethical standards or principles and the professional

Test case prioritization and regression test selection

Test case prioritization and regression test selection 1. introduction The significance of software testing process and its affects on software quality cannot be taken too lightly. Software testing is a fundamental component of software quality assurance and represents a review of specification, design and coding. The greater visibility of software systems and the cost associated with software failure are motivating factors for planning, through testing. A number of rules that act as testing objectives are: * Testing is a process of executing a program with the aim of finding errors. * A good test case will have a good chance of finding an undiscovered error. * A successful test case uncovers a new error. Software maintenance is an activity, which includes enhancements, error corrections, optimization and deletion of obsolete capabilities. These modifications in the software may cause the software to work incorrectly and may affect the other parts of the software, as developers maintain a software system, they periodically regression test it, hoping to find errors caused by their changes. To do this, developers often create an initial test suite, and then reuse it for regression testing. Regression testing is an expensive maintenance process directed at validating modified software. Regression Test Selection techniques attempt to reduce the cost of regression testing by selecting tests from a programs existing test suite. The simplest regression testing method, retest all, it is one of the conventional methods for regression testing in which all the tests in the existing test suite are re-run. This method, however, is very expensive and may require an unacceptable amount of time to execute all tests in test suite. An alternative method, regression test selection, reruns only a subset of the initial test suite. In this technique instead of rerunning the whole test suite, we select a part of test suite to rerun if the cost of selecting a part of test suite is less than the cost of running the tests that regression test selection allows us to exclude. Of course, this approach is unsatisfactory as well test selection techniques can have significant costs, and can abandon tests that could disclose faults, possibly reducing fault detection effectiveness. [1] To reduce the time and cost during on testing process, another approach, Test Cases Prioritization in a testing procedure can be favorable for engineers and customers. In Test Case Prioritization techniques, test cases are executed in such a way, that maximum objective function like rate of fault detection can be achieved. In section 2 of this paper, we have described different types of Regression Test Selection techniques and we discussed various categories of these types point out by various authors then moving into the details of selective and prioritizing test cases for regression testing. In this section, we also describe several techniques for prioritizing test cases and we evaluate their ability to improve rate of fault detection, according to various authors. In the next section, we in particular describe the Regression Test Selection techniques and Test Case Prioritization problems. Subsequent sections present our analysis and conclusions 2. Regression testing During a software development life cycle, regression testing may start in development phase of system after the detection and correction of errors in a program. Many modifications may occur during the maintenance phase where the software system is corrected, updated and fine-tuned. There are three types of modifications, each arising from different types of maintenance. According to [2], corrective maintenance, commonly called fixes, involves correcting software failures, performance failures, and implementation failures in order to keep the system working properly. Adapting the system in response to changing data requirements or processing environments constitutes adaptive maintenance. Finally, perfective maintenance covers any enhancements to improve the system processing efficiency or maintainability. Based on of modification of specification authors identify two type of regression testing, Progressive regression testing involves a modified specification. In corrective regression testing, the specification does not change. Corrective regression testing Progressive regression testing * Specification is not changed * Involves minor modification to code (e.g., adding and deleting statements) * Usually done during development and corrective maintenance * Many test cases can be reused * Invoked at irregular intervals * Specification is changed * Involves major modification (e.g., adding and deleting modules) * Usually done during adaptive and perfective maintenance * Fewer test cases can be reused * Invoked at regular intervals Table 1: Differences between Corrective and Progressive Regression Testing According to [2], table 1 lists the major differences between corrective and progressive regression testing. Regression testing is defined [3] as the process of retesting the modified parts of the software and ensuring that no new errors have been introduced into previously tested code. There are various regression testing techniques as given by various researchers are: (I) Retest all, (II) Regression Test Selection and (III) Test Case Prioritization. Retest-All Technique reuses all tests existing in test suite. It is very expensive as compared to other techniques. In this report our main focus on Regression Test Selection and Test Case Prioritization. Let P be a procedure or program, let P be a modified version of P, and let T be a test suite for P. A typical regression test proceeds as follows: 1. Select T C T, a set of tests to execute on P. 2. Test P with T, establishing Ps correctness with respect to T. 3. If necessary, create T, a set of new functional or structural tests for P. 4. Test P with T, establishing Ps correctness with respect to T. 5. Create T, a new test suite and test history for P, from T, T, and T. Although each of these steps involves important problems, in this report we restrict our attention to step 1 which involves the Regression Test Selection problem. 2.1. REGRESSION TEST SELECTION Regression Test Selection technique is less expensive as compare to retest all technique. Regression Test Selection techniques reduce the cost of regression testing by selecting a subset of an existing test suite to use in retesting a modified program. A variety of regression test selection techniques have been describing in the research literature. Authors [1] describe several families of techniques; we consider five most common approaches often used in practice. 1) Minimization Techniques: These techniques attempt to select minimal sets of tests from T that yield coverage of modified or affected portions of P. One such technique requires that every program statement added to or modified for P be executed (if possible) by at least one test in T. 2) Safe Techniques: These techniques select, under certain conditions, every test in T that can expose one or more faults in P. One such technique selects every test in T that, when executed on P, exercised at least one statement that has been deleted from P, or at least one statement that is new in or modified for P. 3) Dataflow-Coverage-Based Techniques: These techniques select tests that exercise data interactions that have been affected by modifications. One such technique selects every test in T that, when executed on P, exercised at least one definition use pair that has been deleted from P, or at least one definition-use pair that has been modified for P. 4) Ad Hoc / Random Techniques: When time constraints prohibit the use of a retest-all approach, but no test selection tool is available, developers often select tests based on hunches, or loose associations of tests with functionality. One simple technique randomly selects a predetermined number of tests from T. 5) Retest-All Technique: This technique reuses all existing tests. To test P, the technique selects all tests in T. According to [3], Test Selection techniques are broadly classified into three categories. 1) Coverage techniques: These consider the test coverage criteria. These find coverable program parts that have been modified and select test cases that work on these parts. 2) Minimization techniques: These are similar to coverage techniques except that they select minimum set of test cases. 3) Safe techniques: These do not focus on criteria of coverage, in contrast they select all those test cases that produce different output with a modified program as compared to its original version. Regression test selection identifies the negative impact of modifications applied to software artifacts throughout their life cycle. In traditional approaches, code is modified directly, so code-based selective regression testing is used to identify negative impact of modifications. In model-centric approaches, modifications are first done to models, rather than to code. Consequently, the negative impact to software quality should be identified by means of selective model-based regression testing. To date, most automated model based testing approaches focus primarily on automating test generation, execution, and evaluation, while support for model-based regression test selection is limited [4]. Code-based regression test selection techniques assume specification immutability, while model-based techniques select abstract test cases based on models modifications. Thus, in model based Regression Test Selection techniques, the existing test suite can be classified into following three main types: 1) Reusable test cases: Reusable test cases are test cases from the original test suite that are not obsolete or re-testable. Hence, these test cases do not need to be re-executed. 2) Re-testable test cases: Test cases are re-testable if they are non-obsolete (model-based) test case and they traverse modified model elements. 3) Obsolete test cases: Test cases are obsolete if their input had been modified. Regression Test Selection techniques may create new test cases that test the program for areas which are not covered by the existing test cases. Model based Regression test suite selection that utilizes Unified Modeling Language (UML) based Use Case Activity Diagrams (UCAD). The activity diagrams are commonly employed as a graphical representation of the behavioral activities of a software system. It represents the functional behavior of a given use case. With behavior slicing we can built our activity diagram. This diagram gives us qualitative regression tests. Using behavior slicing each use case divided into a set of unit of behavior where each unit of behavior represents a user action.[5] An activity diagram has mostly six nodes: 1. Initial node 2. User Action node 3. System Processing node 4. System Output node 5. Condition node 6. Final node 2.3. TEST CASE PRIORITIZATION The main purpose of test case prioritization is to rank test cases execution order to detect fault as early as possible. There are two benefits brought by prioritization technique. First, it provides a way to find more bugs under resource constraint condition and thus improves the revealed earlier; engineers have more time to fix these bugs [6]. Zengkai Ma and Jianjun Zhao [6] propose a new prioritization index called testing-importance of module (TIM), which combines two prioritization factors: fault proneness and importance of module. The main advantages of this prioritization approach are twofold. First, the TIM value can be evaluated by analyzing program structure (e.g., call graph) alone and it also can be evaluated by incorporating program structure information and other available data (e.g., source code changes). Therefore, this approach can be applied to not only regression testing but also non-regression testing. Second, through analyzing program structure, we can build a mapping between fault severity and fault location. Those test cases covering important part of system will be assigned high priority and executed first. As a result, the severe faults are revealed earlier and the system becomes reliable at fast rate. The main contributions of authors [6] are: * They propose a new approach to evaluate the testing importance for modules in system by combining analysis of fault proneness and module importance. * They develop a test case prioritization technique, which can provide test cases priority result by handling multiple information (e.g., program structure information, source code changes) and can be applied to both new developed software testing and regression testing. * They implement Apros, a tool for test case prioritization based on the proposed technique, and perform an experimental study on their approach. The result suggests that Apros is a promising solution to improve the rate of severe faults detection. Authors consider a sample system, which consists of six modules: M1-M6 and there exist some call relationships between each module. A test suite includes six test cases T1-T6 that covers the M1-M6 respectively. Some modules are dependent on each other. They are finding fault proneness and fault severity by using TIM from this system. They conclude the prioritization result (T3, T6, T4, T2, T5, and T1) on the bases of analyzing structure of system. For calculating this result they had developed some formulas and equation. [6] They also did some experiment with two Java programs along JUnit test cases: xml-security and jtopas. They select three sequential versions of the two java programs and apply newly developed software testing and the regression testing. They perform some experiment for finding fault proneness and severe fault. They also introduce the importance of any module using weight fact. Authors [7] explore value-driven approach to prioritizing software system test with the objective of improving user-perceived software quality. Software testing is a strenuous and expensive process. Research has shown that at least 50% of the total software cost is comprised of testing activities.They conclude that, their approach of prioritization of test cases is work effectively with regression and non-regression testing by analyzing the program structure. They make a reach on prior TCP which have two goals: (1) to improve customer confidence on software quality in a cost effective way and (2) to improve the rate of detection of severe faults during system-level testing of new code and regression testing of existing code. They present a value-driven approach to system-level test case prioritization called the Prioritization of Requirements for Test (PORT). PORT based on following four factors. 1) Requirements volatility Is based on the number of times a requirement has been changed during the development cycle. 2) Customer priority Is a measure of the importance of a requirement to the customer? 3) Implementation complexity Is a subjective measure of how difficult the development team perceives the implementation of requirement to be. 4) Fault proneness Of requirements (FP) allows the development team to identify the requirements which have had customer-reported failures. They claim in research paper, Prioritization of Requirement Test (PORT) has great impact on finding severe fault at system level. They are emphasis on Customer priority in TCP for improve the fault detection. Today software industries are working on neutral manner. They set neutral value to all requirements use cases, test cases and defects. To improve the customer satisfactions in software engineering world they are presenting a value-driven approach for system level testing. In these days Regression Test Case Prioritization techniques use structural coverage criteria to select the test cases. They are leading their ideas from structure level to code level TCP for both new and Regression tests. This Paper has two main objectives: 1). Find severe faults earlier 2). Improve customer confidence on particular system. Researchers describe several techniques [8] for prioritizing test cases and they empirically evaluate their ability to improve rate of fault detectionà ¢Ãƒ ¢Ã¢â‚¬Å¡Ã‚ ¬a measure of how quickly faults are detected within the testing process. An improved rate of fault detection during regression testing can provide earlier feedback on a system under regression test and let developers begin debugging and correcting faults earlier than might otherwise is possible. Their results indicate that test case prioritization can significantly improve the rate of fault detection of test suites. Furthermore, their results highlight tradeoffs between various prioritization techniques. Test case prioritization can address a wide variety of objectives. In practice, and depending upon the choice of objective, the test case prioritization problem may be intractable: objectives, an efficient solution to the problem would provide an efficient solution to the knapsack problem [8]. Authors consider nine different test case prioritization techniques. T1: No prioritization One prioritization technique that authors consider is simply the application of no technique; this lets us consider untreated test suites. T2: Random prioritization Random prioritization in which authors randomly order the tests in a test suite. T3: Optimal prioritization An optimal ordering of test cases in a test suite for maximizing that suites rate of fault detection. In practice, of course, this is not a practical technique, as it requires knowledge of which test cases will expose which faults. T4: Total branch coverage prioritization We can determine, for any test case, the number of decisions (branches) in that program that were exercised by that test case. We can prioritize these test cases according to the total number of branches they cover simply by sorting them in order of total branch coverage achieved. T5: Additional branch coverage prioritization Total branch coverage prioritization schedules test cases in the order of total coverage achieved. However, having executed a test case and covered certain branches, more may be gained in subsequent test cases by covering branches that have not yet been covered. Additional branch coverage prioritization iteratively selects a test case that yields the greatest branch coverage. T6: Total fault-exposing-potential prioritization Statement- and branch-coverage-based prioritization consider only whether a statement or branch has been exercised by a test case. This consideration may mask a fact about test cases and faults: the ability of a fault to be exposed by a test case depends not only on whether the test case reaches (executes) a faulty statement, but also, on the probability that a fault in that statement will cause a failure for that test case. Although any practical determination of this probability must be an approximation, we wished to determine whether the use of such an approximation could yield a prioritization technique superior in terms of rate of fault detection than techniques based on simple code coverage. T7:Additional fault-exposing-potential (FEP) prioritization Analogous to the extensions made to total branch (or statement) coverage prioritization to additional branch (or statement) coverage prioritization, we extend total FEP prioritization to create additional fault-exposing-potential (FEP) prioritization. This lets us account for the fact that additional executions of a statement may be less valuable than initial executions. In additional FEP prioritization, after selecting a test case t, we lower the award values for all other test cases that exercise statements exercised by t. T8: Total statement coverage prioritization Total statement coverage prioritization is the same as total branch coverage prioritization, except that test coverage is measured in terms of program statements rather than decisions. T9: Additional statement coverage prioritization Additional statement coverage prioritization is the same as additional branch coverage prioritization, except that test coverage is measured in terms of program statements rather than decisions. With this technique too, we require a method for prioritizing the remaining test cases after complete coverage has been achieved, and in this work, we do this using total statement coverage prioritization. 2.3.1. Search Algorithms for Test Case Prioritization There are many search techniques for test case prioritization, which are being developed and unfolded by various researchers in the field. 1) Greedy algorithm: Works on the next best search philosophy. It [9] minimizes the estimated cost to reach a particular goal. Its advantage is that it is cheap in both execution time and implementation. The cost of this prioritization is O(mn) for program containing m statements and test suite containing n test cases. 2) Additional Greedy algorithm: This algorithm [9] uses the feedback from previous selections. It selects the maximum weight element from the part that is not already consumed by previously selected elements. Once the complete coverage is achieved, the remaining test cases are prioritized by reapplying the Additional Greedy algorithm. The cost of this prioritization is O(mn2) for program containing m statements and test suite containing n test cases. 3) Hill Climbing: It is one of the popular local search algorithms with two variations; steepest ascent and next best ascent. It is very easy and inexpensive to execute. However, this has cons of dividing O(n2) neighbors and is unlikely to scale. Steps of algorithm are explained in [9]. 4) Genetic Algorithms (GAs): Is a search technique [9] based on the Darwins theory of survival of the fit test? The population is a set of randomly generated individuals. Each individual is representing by variables/parameters called genes or chromosomes. The basic steps of Genetic Algorithm are (1) Encoding (2) Selection (3) Cross over (4) Mutation. 3. CONCLUSION In this paper we discussed about Regression test selection and Test Case Prioritization Selection. Regression testing is a style of testing that focuses on retesting after changes are made. In traditional regression testing, we reuse the same tests (the regression tests). In risk-oriented regression testing, we check the same module functionality as before, but we use different tests. Any test can be reused, and so any test can become a regression test. Regression testing naturally combines with all other test techniques. Therefore we use Test Case Prioritization technique inside Regression Testing. Test prioritization makes strengthen our regression testing for finding more severe fault in earlier stages. In this paper we discussed about different factor of prioritization. Customer priority has a great impact on PORT. Our view about both test case selection is, First version of test suite which developed by developer should have concrete test cases. Also at the same stage we should perform some prioritization. With earlier prioritization of test cases we can reduce our cost, time, effort and maximize customer satisfaction 4. References [1] Todd L. Graves, Mary Jean Harrold, Jung-Min Kim, Adam Porters, Gregg Rothermel, An Empirical Study of Regression Test Selection Techniques, Proceedings of the 1998 (20th) International Conference on Software Engineering, 19-25 April 1998 Page(s):188 197. [2] Leung, H.K.N., White, L., Insights into Regression Testing, Proceedings., Conference on Software Maintenance, 16-19 Oct. 1989 Page(s):60 69. [3] K.K.Aggarwal Yogesh Singh, Software Engineering Programs Documentation, Operating Procedures, New Age International Publishers, Revised Second Edition 2005. [4] Naslavsky L., Ziv H., Richardson D.J., A Model-Based Regression Test Selection Technique, ICSM 2009. IEEE International Conference on Software Maintenance, 20-26 Sept. 2009 Page(s):515 518. [5] Gorthi R.P., Pasala A., Chanduka K.K.P., Leong, B., Specification-Based Approach to Select Regression Test Suite to Validate [6] Changed Software, APSEC 08. 15th Asia-Pacific Software Engineering Conference, 3-5 Dec. 2008, Page(s):153 160 [7] Zengkai Ma, Jianjun Zhao, Test Case Prioritization based on Analysis of Program Structure, APSEC 08. 15th Asia-Pacific Software Engineering Conference, 3-5 Dec. 2008, Page(s):471 478 [8] Srikanth H., Williams L., Osborne J., System Test Case Prioritization of New and Regression Test Cases, 2005 International Symposium on Empirical Software Engineering, 17-18 Nov. 2005, Page(s):10 pp. [9] Rothermel G., Untch R.H., Chengyun Chu, Harrold M.J., Test Case Prioritization: An Empirical Study, (ICSM 99) Proceedings. IEEE International Conference on Software Maintenance, 30 Aug.-3 Sept. 1999, Page(s):179 188 [10] Zheng Li, Mark Harman, and Robert M. Hierons, Search algorithms for regression test case prioritization, IEEE Trans. On Software Engineering, vol 33, no.4, April 2007.

Academic Performance of Nursing Students

Factors Affecting Academic PerformanceFactors Affecting AcademicperformanceCHAPTER IProblem and Its SettingIntroductionAcademic performance is measured by the standing of rates of grades of student in every subject. Having a high level of performance on the academic area of a student suggest its competency and high level of confidence on its certain field. Students have their own attitude towards learning and achieving a high level of academic performance. The development of their enthusiasm towards succeeding in their own field varies.In order for a student to succeed he needs to be armed with strategies and techniques that will supplement his desire to reach his goals. One way is to have an efficient and adaptive study habit. This phenomenon can be linked to multi factors that affect their study habit. Such factors can be found in their environment, these includes the type of house they live in; the people around them and the level of support they give; the student and his familyâ €™s daily routines; the availability of resources Is this Essay helpful?Join OPPapers to read more and access more than 350,000 just like it! get better grades for studying; and also his family’s economicstatus, etcetera. Calbayog City, geographically, is a large city and it is also the focal point of many municipalities in the islands of Samar. That is why apart from the majority of students with families living in the city, it is also common in schools to have students that live in boarding houses since these students live in places far enough from Calbayog City.Christ the King College, specifically the College of Nursing shares this commonality which brings the researchers to wondering whether there are comparisons and differences among BS Nursing students living in their homes and boarding houses in relation to their academic performance. Statement of the problemThis study aims at finding the factors affecting the level of academic performance among the BS nursing stu dent of Christ the king college. It specifically seeks to answer the following questions:1. what is the profile of the BSN students in†¦