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Academic literature on the topic 'A Prioritization-Based Technique'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "A Prioritization-Based Technique"

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Zhang, Tianning, Xingqi Wang, Dan Wei, and Jinglong Fang. "Test Case Prioritization Technique Based on Error Probability and Severity of UML Models." International Journal of Software Engineering and Knowledge Engineering 28, no. 06 (June 2018): 831–44. http://dx.doi.org/10.1142/s0218194018500249.

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Test case prioritization is one of the most useful activities in testing. Most existing test case prioritization techniques are based on code coverage, which requires access to source code. However, code-based testing comes late in the software development life cycle, when errors are detected, the cost of testing is very high. Therefore, in this paper, we provide a test case prioritization technique based on Unified Modeling Language (UML) model, built before coding, to detect errors as earlier as possible and reduce the cost of modification. The technique consists of the following main parts: (1) using C&K metrics to estimate the error probability of class; (2) using dependences, obtained from the model slicing, to estimate error severity; (3) generating test case priority from error probability and severity, then prioritizing the test case. With our technique, test engineers need the UML model only and the test cases can be prioritized automatically. To evaluate our technique, we applied our technique to unmanned aerial vehicles (UAV) flight control system and performed test case prioritization. The results show that the error can be detected effectively and stability can be increased significantly as compared to the current code-based techniques.
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KRISHNAMOORTHI, R., and S. A. SAHAAYA ARUL MARY. "REQUIREMENT BASED SYSTEM TEST CASE PRIORITIZATION OF NEW AND REGRESSION TEST CASES." International Journal of Software Engineering and Knowledge Engineering 19, no. 03 (May 2009): 453–75. http://dx.doi.org/10.1142/s0218194009004222.

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Test case prioritization schedules the test cases in an order that increases the effectiveness in achieving some performance goals. One of the most important performance goals is the rate of fault detection. Test cases should run in an order that increases the possibility of fault detection and also detects the most severe faults at the earliest in its testing life cycle. Test case prioritization techniques have proved to be beneficial for improving regression testing activities. While code coverage based prioritization techniques are found to be studied by most scholars, test case prioritization based on requirements in a cost effective manner has not been used for studies so far. Hence, in this paper, we propose to put forth a model for system level Test Case Prioritization (TCP) from software requirement specification to improve user satisfaction with quality software that can also be cost effective and to improve the rate of severe fault detection. The proposed model prioritizes the system test cases based on six factors: customer priority, changes in requirement, implementation complexity, usability, application flow and fault impact. The proposed prioritization technique is experimented in three phases with student projects and two sets of industrial projects and the results show convincingly that the proposed prioritization technique improves the rate of severe fault detection.
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Hudaib, Amjad, Raja Masadeh, Mais Haj Qasem, and Abdullah Alzaqebah. "Requirements Prioritization Techniques Comparison." Modern Applied Science 12, no. 2 (January 15, 2018): 62. http://dx.doi.org/10.5539/mas.v12n2p62.

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Requirements prioritization is considered as one of the most important approaches in the requirement engineering process. Requirements prioritization is used to define the ordering or schedule for executing requirement based on their priority or importance with respect to stakeholders’ viewpoints. Many prioritization techniques for requirement have been proposed by researchers, and there is no single technique can be used for all projects types. In this paper we give an overview of the requirement process and requirement prioritization concept. We also present the most popular techniques used to prioritize the software project requirements and a compression between these techniques. On the other hand, we spot the light on the importance of involving the non-functional requirements prioritization because of the great effects of non-functional on project success and quality; some approaches that used in prioritize non-functional requirements are discussed in this paper, in addition a general model is proposed based on reviewing the prioritization techniques in order to suggests a best suited technique for specific projects according to decision makers parameters.
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Kumar, Harish, and Naresh Chauhan. "A Module Coupling Slice Based Test Case Prioritization Technique." International Journal of Modern Education and Computer Science 7, no. 7 (July 8, 2015): 8–16. http://dx.doi.org/10.5815/ijmecs.2015.07.02.

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Chen, Lizhe, Xiang Yu, Ji Wu, and Haiyan Yang. "CIPC: A Change Impact Propagation Computing Based Technique for Microservice Regression Testing Prioritization." Mobile Information Systems 2021 (November 23, 2021): 1–13. http://dx.doi.org/10.1155/2021/2912240.

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Regression testing is the optimal technique that can be used in each iteration of microservice systems. However, regression testing prioritization is the only main method that gives better results. These techniques directly involve the processes of artifacts, data acquisition, analysis, and maintenance. The microservice systems have input data, which are difficult to obtain and control, while such processes are of high costs with impractical design. This paper gives a detailed study on testing prioritization technique, which is referred to as CIPC. As there are dependencies between services from API gateway logs, a novel CIPC algorithm is proposed, which is based on belief propagation. There are some rules that are directly affected by service changes. Therefore, the higher execution order of test case prioritizes CIPC, which is based on impact changes. Multiobjective prioritization algorithm is based on heuristic searching, in which sequence test cases are done by coverage. By evaluating the effectiveness of CIPC, the empirical study presents five microservice systems and four different techniques. The results describe that CIPC has improved fault detection rate with acceptable time and cost. The technique is more practical than typical artifacts, which are based on increments of system scales.
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WANG, ZIYUAN, LIN CHEN, BAOWEN XU, and YAN HUANG. "COST-COGNIZANT COMBINATORIAL TEST CASE PRIORITIZATION." International Journal of Software Engineering and Knowledge Engineering 21, no. 06 (September 2011): 829–54. http://dx.doi.org/10.1142/s0218194011005499.

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Combinatorial testing has been widely used in practice. People usually assume all test cases in combinatorial test suite will run completely. However, in many scenarios where combinatorial testing is needed, for example the regression testing, the entire combinatorial test suite is not run completely as a result of test resource constraints. To improve the efficiency of testing, combinatorial test case prioritization technique is required. For the scenario of regression testing, this paper proposes a new cost-cognizant combinatorial test case prioritization technique, which takes both combination weights and test costs into account. Here we propose a series of metrics with physical meaning, which assess the combinatorial coverage efficiency of test suite, to guide the prioritization of combinatorial test cases. And two heuristic test case prioritization algorithms, which are based on total and additional techniques respectively, are utilized in our technique. Simulation experimental results illustrate some properties and advantages of proposed technique.
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Mei, Lijun, Yan Cai, Changjiang Jia, Bo Jiang, and W. K. Chan. "Test Pair Selection for Test Case Prioritization in Regression Testing for WS-BPEL Programs." International Journal of Web Services Research 10, no. 1 (January 2013): 73–102. http://dx.doi.org/10.4018/jwsr.2013010104.

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Many web services not only communicate through XML-based messages, but also may dynamically modify their behaviors by applying different interpretations on XML messages through updating the associated XML Schemas or XML-based interface specifications. Such artifacts are usually complex, allowing XML-based messages conforming to these specifications structurally complex. Testing should cost-effectively cover all scenarios. Test case prioritization is a dimension of regression testing that assures a program from unintended modifications by reordering the test cases within a test suite. However, many existing test case prioritization techniques for regression testing treat test cases of different complexity generically. In this paper, the authors exploit the insights on the structural similarity of XML-based artifacts between test cases in both static and dynamic dimensions, and propose a family of test case prioritization techniques that selects pairs of test case without replacement in turn. To the best of their knowledge, it is the first test case prioritization proposal that selects test case pairs for prioritization. The authors validate their techniques by a suite of benchmarks. The empirical results show that when incorporating all dimensions, some members of our technique family can be more effective than conventional coverage-based techniques.
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Dahiya, Omdev, and Kamna Solanki. "An Efficient APHT Technique for Requirement-Based Test Case Prioritization." International Journal of Engineering Trends and Technology 69, no. 4 (April 25, 2021): 215–27. http://dx.doi.org/10.14445/22315381/ijett-v69i4p230.

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Tiutin, C. M., M. T. Trifan, and A. Vescan. "Defect Prediction-Based Test Case Prioritization." Studia Universitatis Babeș-Bolyai Informatica 65, no. 2 (December 14, 2020): 78. http://dx.doi.org/10.24193/subbi.2020.2.06.

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Changes in the software necessitate confirmation testing and regression testing to be applied since new errors may be introduced with the modification. Test case prioritization is one method that could be applied to optimize which test cases should be executed first, involving how to schedule them in a certain order that detect faults as soon as possible.The main aim of our paper is to propose a test case prioritization technique by considering defect prediction as a criteria for prioritization in addition to the standard approach which considers the number of discovered faults. We have performed several experiments, considering only faults and the defect prediction values for each class. We compare our approach with random test case execution (for a theoretical example) and with the fault-based approach (for the Mockito project). The results are encouraging, for several class changes we obtained better results with our proposed hybrid approach.
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Gupta, Varun, D. S. Chauhan, and Kamlesh Dutta. "Requirement Prioritization of Complex Web 2.0 Application based on Effects on Regression Testing." International Journal of Systems and Service-Oriented Engineering 5, no. 3 (July 2015): 18–37. http://dx.doi.org/10.4018/ijssoe.2015070102.

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Web 2.0 applications are complex information systems. Likewise any desktop applications, web applications are complex and require effective requirement prioritization preceded by effective decision aspect prioritization by involving diverse stakeholders. During the release of new increments, objective is to provide value to the software and simultaneously lowering the regression testing effort. This can be achieved by implementing all highest priority requirements along with those dependent on them so that next increments implemented requirements independent of already implemented ones. The challenges involved in aspect selection, requirement prioritization, and effective selection of the security requirements of Web 2.0 application makes its incremental deliveries a complex task as compared to that of desktop applications. The proposed requirement prioritization process is hybrid approach i.e. Based on combination of negotiations and methods to prioritize both decision aspects and software requirements. This technique reduces regression testing effort by taking an impact on regression testing as one of the parameters during prioritization and overcomes various problems related to prioritization of web 2.0 applications. This technique is applied on live system of “Virtual Classroom”, by employing three stakeholder groups with total 8 stakeholders. Results were promising since it resulted in the successful delivery of web application due to effective aspect and requirement prioritization thereby leading to reduced regression testing effort.
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Dissertations / Theses on the topic "A Prioritization-Based Technique"

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Gill, Rupinder S. "Intrusion detection techniques in wireless local area networks." Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/29351/1/Rupinder_Gill_Thesis.pdf.

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This research investigates wireless intrusion detection techniques for detecting attacks on IEEE 802.11i Robust Secure Networks (RSNs). Despite using a variety of comprehensive preventative security measures, the RSNs remain vulnerable to a number of attacks. Failure of preventative measures to address all RSN vulnerabilities dictates the need for a comprehensive monitoring capability to detect all attacks on RSNs and also to proactively address potential security vulnerabilities by detecting security policy violations in the WLAN. This research proposes novel wireless intrusion detection techniques to address these monitoring requirements and also studies correlation of the generated alarms across wireless intrusion detection system (WIDS) sensors and the detection techniques themselves for greater reliability and robustness. The specific outcomes of this research are: A comprehensive review of the outstanding vulnerabilities and attacks in IEEE 802.11i RSNs. A comprehensive review of the wireless intrusion detection techniques currently available for detecting attacks on RSNs. Identification of the drawbacks and limitations of the currently available wireless intrusion detection techniques in detecting attacks on RSNs. Development of three novel wireless intrusion detection techniques for detecting RSN attacks and security policy violations in RSNs. Development of algorithms for each novel intrusion detection technique to correlate alarms across distributed sensors of a WIDS. Development of an algorithm for automatic attack scenario detection using cross detection technique correlation. Development of an algorithm to automatically assign priority to the detected attack scenario using cross detection technique correlation.
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Gill, Rupinder S. "Intrusion detection techniques in wireless local area networks." Queensland University of Technology, 2009. http://eprints.qut.edu.au/29351/.

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This research investigates wireless intrusion detection techniques for detecting attacks on IEEE 802.11i Robust Secure Networks (RSNs). Despite using a variety of comprehensive preventative security measures, the RSNs remain vulnerable to a number of attacks. Failure of preventative measures to address all RSN vulnerabilities dictates the need for a comprehensive monitoring capability to detect all attacks on RSNs and also to proactively address potential security vulnerabilities by detecting security policy violations in the WLAN. This research proposes novel wireless intrusion detection techniques to address these monitoring requirements and also studies correlation of the generated alarms across wireless intrusion detection system (WIDS) sensors and the detection techniques themselves for greater reliability and robustness. The specific outcomes of this research are: A comprehensive review of the outstanding vulnerabilities and attacks in IEEE 802.11i RSNs. A comprehensive review of the wireless intrusion detection techniques currently available for detecting attacks on RSNs. Identification of the drawbacks and limitations of the currently available wireless intrusion detection techniques in detecting attacks on RSNs. Development of three novel wireless intrusion detection techniques for detecting RSN attacks and security policy violations in RSNs. Development of algorithms for each novel intrusion detection technique to correlate alarms across distributed sensors of a WIDS. Development of an algorithm for automatic attack scenario detection using cross detection technique correlation. Development of an algorithm to automatically assign priority to the detected attack scenario using cross detection technique correlation.
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OURIQUES, João Felipe Silva. "Investigation of Test Case Prioritization for Model-Based Testing." Universidade Federal de Campina Grande, 2017. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/1674.

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Submitted by Emanuel Varela Cardoso (emanuel.varela@ufcg.edu.br) on 2018-09-10T23:01:21Z No. of bitstreams: 1 JOÃO FELIPE SILVA OURIQUES – TESE (PPGCC) 2017.pdf: 1146873 bytes, checksum: ad9b0dc8f44c3aa49b2d3201dca79589 (MD5)
Made available in DSpace on 2018-09-10T23:01:21Z (GMT). No. of bitstreams: 1 JOÃO FELIPE SILVA OURIQUES – TESE (PPGCC) 2017.pdf: 1146873 bytes, checksum: ad9b0dc8f44c3aa49b2d3201dca79589 (MD5) Previous issue date: 2017-12-12
CNPq
Teste de Software é uma tarefa cara dentre as de Verificação de Validação. No entanto, ainda é a mais utilizada para medir a qualidade de sistemas em desenvolvimento. No Teste Baseado em Modelo (TBM), casos de teste são gerados automaticamente de modelos de sistema, o que reduz tempo e custos. Por outro lado, frequentemente o tamanho das suites de teste geradas leva a uma execução completa inviável. Assim, algumas abordagens são usadas para lidar com os custos da execução dos casos de teste: Seleção de Casos de Teste, Minimização de suítes de teste e Priorização de Casos de Teste (PCT). Com a finalidade de melhorar o consumo de recursos durante o teste no nível de sistema, ao mesmo tempo não eliminando casos de teste no processo, nós exploramos a PCT neste trabalho. Nesta pesquisa de doutorado abordamos o problema de propor uma nova ordem de execução para casos de teste de sistema, especificamente os gerados através de abordagens de TBM, considerando que informação histórica não está disponível para guiar este processo. Como primeiro passo, avaliamos as técnicas atuais no nosso contexto de pesquisa, com a finalidade de avaliar suas caracteristicas. Baseado nisto, propomos duas técnicas de PCT: HARP e CRISPy. A primeira usa indicações de membros do time de desenvolvimento sobre porções suscetíveis a erros (as ditas dicas), como guia para a priorização; a segunda cria clusters de casos de teste com a finalidade de adicionar variabilidade a priorização. HARP se baseia na estratégia aleatórioadaptativa e explora casos de teste que cobrem passos relacionados às dicas. Para validá-la, executamos dois estudos empíricos e deles, concluimos que, com dicas boas, HARP é capaz de sugerir sequências de casos de teste efetivas, mas é necessário evitar situações em que as dicas não são consensuais entre os membros do time de desenvolvimento. Por outro lado, propomos CRISPy para complementar HARP. Para validá-la, realizamos três estudos empíricos e, mesmo sendo uma técnica simples de clustering, já consegue propor sequências de casos de teste efetivas em comparação as outras técnicas investigadas. Além disso, a depender dos tipos de casos de teste considerados, a escolha de uma função de distância adequada pode ser um passo de adequação da técnica. Detalhamos a implementação de todas as técnicas propostas e publicamos todos os artefatos relacionados aos estudos empíricos realizados em uma página web, o que permite a reprodução dos nossos resultados.
Software Testing is an expensive and laborious task among the Verification and Validation ones. Nevertheless testing is still the main way of assessing the quality of systems under development. In Model-Based Testing (MBT), test cases are generated automatically from system models, which provides time and cost reduction. On the other hand, frequently the size of the generated test suites leads to an unfeasible complete execution. Therefore, some approaches are used to deal with the costs involved in the test case execution, for example: Test Case Selection, Test Suite Reduction and the Test Case Prioritization (TCP). In order to improve resource consumption during system level testing, whereas not eliminating test cases, we explore TCP in our work. In this doctorate research we address the general problem of proposing a new order for the execution of system level test cases, specifically the ones generated through MBT approaches and considering that historical information is not available to guide this process. As a first step, we evaluate current techniques in this context, aiming at assessing their strengths and weaknesses. Based on these results, we propose two TCP techniques: HARP and CRISPy. The former uses indications (hints) provided by development team members regarding error prone portions of the system under test, as guidance for prioritization; the latter clusters test cases in order to add variability to the prioritization. HARP is based on the adaptive random strategy and explore test cases that cover steps related to the hints. To validate it, we perform two studies and from them we conclude that, with good hints, HARP can suggest effective prioritized test suites, provided that one avoid situations that the hints are not consensual in the development team. On the other hand, we propose CRISPy to complement HARP, i.e. to apply it when HARP is not indicated. To validate it we perform three studies and, even being a simple clustering technique, it already proposes effective prioritized test suites in comparison to current TCP techniques. Besides, depending on the kind of the test suites, choosing an adequate distance function could be a tuning step. We detail the implementation of all investigated and proposed techniques, and publish the artifacts related to the performed empirical studies in a companion site, enabling researchers to verify and reproduce our findings.
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Book chapters on the topic "A Prioritization-Based Technique"

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Gupta, Avinash, Nayneesh Mishra, Aprna Tripathi, Manu Vardhan, and Dharmender Singh Kushwaha. "An Improved History-Based Test Prioritization Technique Technique Using Code Coverage." In Lecture Notes in Electrical Engineering, 437–48. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07674-4_43.

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Godboley, Sangharatna, and Durga Prasad Mohapatra. "Towards Agile Mutation Testing Using Branch Coverage Based Prioritization Technique." In Lecture Notes in Business Information Processing, 150–69. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94238-0_9.

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Sher, Falak, Dayang N. A. Jawawi, Radziah Mohammad, Muhammad Imran Babar, Rafaqat Kazmi, and Muhammad Arif Shah. "Multi-aspects Intelligent Requirements Prioritization Technique for Value Based Software Systems." In Communications in Computer and Information Science, 357–71. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5232-8_31.

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Seehusen, Fredrik. "A Technique for Risk-Based Test Procedure Identification, Prioritization and Selection." In Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications, 277–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45231-8_20.

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Achimugu, Philip, Ali Selamat, and Roliana Ibrahim. "A Clustering Based Technique for Large Scale Prioritization during Requirements Elicitation." In Advances in Intelligent Systems and Computing, 623–32. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07692-8_59.

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Yadav, Dharmveer Kumar, and Sandip Dutta. "A New Cluster-Based Test Case Prioritization Using Cat Swarm Optimization Technique." In Lecture Notes in Electrical Engineering, 441–50. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7091-5_36.

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Vedpal and Naresh Chauhan. "A Multi-factored Cost- and Code Coverage-Based Test Case Prioritization Technique for Object-Oriented Software." In Advances in Intelligent Systems and Computing, 27–36. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8848-3_3.

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Mondal, Biraj Kanti, Rajib Das, and Rima Das. "Watershed Prioritization Based on Morphometric Analysis Using Geospatial Technique in the Upper Kasai Sub-Watershed of Purulia District, West Bengal (India)." In Fluvial Systems in the Anthropocene, 193–226. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11181-5_11.

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Uppuluri, V. R. R. "Prioritization Techniques Based on Stochastic Paired Comparisons." In Multiple Criteria Decision Making and Risk Analysis Using Microcomputers, 293–303. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74919-3_11.

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Gupta, Varun, Yatin Vij, and Chetna Gupta. "Toward Analysis of Requirement Prioritization Based Regression Testing Techniques." In System Performance and Management Analytics, 97–101. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7323-6_9.

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Conference papers on the topic "A Prioritization-Based Technique"

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Chaurasia, Geetanjali, Sonali Agarwal, and Swarnima Singh Gautam. "Clustering based novel test case prioritization technique." In 2015 IEEE Students Conference on Engineering and Systems (SCES). IEEE, 2015. http://dx.doi.org/10.1109/sces.2015.7506447.

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Elsood, Mukhtar A. Abo, Hesham A. Hefny, and Eman S. Nasr. "A goal-based technique for requirements prioritization." In 2014 9th International Conference on Informatics and Systems (INFOS). IEEE, 2014. http://dx.doi.org/10.1109/infos.2014.7036697.

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Abou-Elseoud, Mokhtar A., Eman S. Nasr, and Hesham A. Hefny. "Enhancing requirements prioritization based on a hybrid technique." In 2016 11th International Conference on Computer Engineering & Systems (ICCES). IEEE, 2016. http://dx.doi.org/10.1109/icces.2016.7822009.

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Jun, Wang, Zhuang Yan, and Jianyun Chen. "Test Case Prioritization Technique Based on Genetic Algorithm." In information Services (ICICIS). IEEE, 2011. http://dx.doi.org/10.1109/icicis.2011.50.

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Khalid, Zumar, and Usman Qamar. "Weight and Cluster Based Test case Prioritization Technique." In 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2019. http://dx.doi.org/10.1109/iemcon.2019.8936202.

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Yadav, Mohini, Majid Jamil, and M. Rizwan. "Microcontroller Based Load Prioritization Technique in Residential Sector." In 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). IEEE, 2018. http://dx.doi.org/10.1109/icpeices.2018.8897394.

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Liaqat, Rao Muzamal, Mudassar Adeel Ahmed, Farooque Azam, and Bilal Mehboob. "A Majority Voting Goal Based technique for Requirement Prioritization." In 2016 22nd International Conference on Automation and Computing (ICAC). IEEE, 2016. http://dx.doi.org/10.1109/iconac.2016.7604958.

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Azizi, Maral, and Hyunsook Do. "Graphite: A Greedy Graph-Based Technique for Regression Test Case Prioritization." In 2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE, 2018. http://dx.doi.org/10.1109/issrew.2018.00014.

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Stallbaum, Heiko, Andreas Metzger, and Klaus Pohl. "An automated technique for risk-based test case generation and prioritization." In the 3rd international workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1370042.1370057.

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Nejad Dobuneh, Mojtaba Raeisi, Dayang N. A. Jawawi, Masitah Ghazali, and Mohammad V. Malakooti. "Development test case prioritization technique in regression testing based on hybrid criteria." In 2014 8th Malaysian Software Engineering Conference (MySEC). IEEE, 2014. http://dx.doi.org/10.1109/mysec.2014.6986033.

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