A Review of Test Case Prioritization and Optimization Techniques

Saraswat, Pavi; Singhal, Abhishek; Bansal, Abhay

doi:10.1007/978-981-10-8848-3_48

Cited by 9 publications

(2 citation statements)

References 28 publications

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“…The aim of test prioritization [159,189,36,188,73,45,100,191,46,48,22,41] is to minimizing test time and maximizing efficiency with running fault revealing tests first. Thus, these techniques rely on data such as statement coverage for fault detection and hope that satisfying these coverage goals will lead to an increasing fault detection rate.…”

Section: Failure Clusteringmentioning

confidence: 99%

A Framework for Failure Diagnosis

Golagha

2017

2017 IEEE International Conference on Software Testing, Verification and Validation (ICST)

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Undertaking this Ph.D. has been a truly life-changing experience for me, and it would not have been possible to do without the support and guidance that I received from many people, and I would not forget to thank them. My Supervisor: Alex, you decided to trust your instinct. Your decision changed a lot of things in my life. I worked hard to prove your instinct was right. Throughout this journey, under your supervision, I grew and became the woman I am today. Thank you for helping me understanding my strengths and weaknesses, teaching me how to accept them and how to use them. Thank you for showing me how to admit and say sorry when I am wrong, how to argue and convince when I am right, and how to confidently say "I don't know but I'll find out". I learned more than you know from you. I am more than grateful. My second supervisor: Lionel, I would like to express my sincere gratitude. Thank you for hosting me at SnT center and providing useful and actionable feedback. I was inspired by many of your previous works. My short stay with your research group and interactions with colleagues there provided me new insight.

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Section: Failure Clusteringmentioning

confidence: 99%

A Framework for Failure Diagnosis

Golagha

2017

2017 IEEE International Conference on Software Testing, Verification and Validation (ICST)

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“…Since its introduction in 1997, TCP has been one of the most effective methods for performing regression testing [9]. In TCP, test cases are rescheduled for execution in an appropriate order so as to increase test effectiveness in meeting some performance goals such as increasing the rate of faults detection [2], [10], [11]. In terms of performance, TCP outperforms other regression testing approaches, such as the test selection and hybrid approach, as TCP accelerates fault detection, mimics bug fixing time and avoids test omission drawbacks [10]- [13].…”

Section: Introductionmentioning

confidence: 99%

Regression Test Case Prioritization Frameworks: Challenges and Future Directions

Ba-Quttayyan*,

Mohd,

Yusof

2019

IJRTE

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Regression testing is a necessary maintenance activity in the software industry where modified software programs are revalidated to make sure that changes do not adversely affect their behavior. Test case prioritization (TCP) is one of the most effective methods in regression testing whereby test cases are rescheduled in an appropriate order for execution to increase test effectiveness in meeting some performance goals such as increasing the rate of fault detection. This paper explores efforts that have been carried out in relation to TCP frameworks. Through the review of related literature, ten existing frameworks were identified, classified and reviewed whereby two are Bayesian network-based, five are multi-objective, while the rest are varied in terms of aspects and purposes. Accordingly, this study analyzes those frameworks based on their proposed year, TCP factors, number of test cases used, evaluations metric and criteria as well as experimental subjects. The results showed that the stated frameworks are not integrated with nature-inspired algorithms as enhancing optimization techniques while several others were insufficiently evaluated according to stated evaluation criteria and metrics for the effective and practical testing process. There is also a scarcity of frameworks that focus on regression test efficiency. This study indicates the need for further research into the topic to enhance TCP frameworks that focus on several directions for practical considerations in this field such as evaluation issues, specific knowledge dependency, and objective deviation. At the end of this study, several future directions such as nature-inspired algorithms assistance are proposed, and a number of limitations are identified and highlighted.

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