Functional Requirement-Based Test Case Prioritization in Regression Testing: A Systematic Literature Review

Hasnain, Muhammad; Pasha, Muhammad Fermi; Ghani, Imran; Jeong, Seung Ryul

doi:10.1007/s42979-021-00821-3

Cited by 3 publications

(1 citation statement)

References 110 publications

(286 reference statements)

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“…Identifikasi mengenai SUT, dilakukan hanya berupa bagian dari survey terhadap pendekatan atau teknik tertentu dalam penelitian software testing. Misalnya, survey terhadap test case prioritization oleh (Hasnain et al, 2021) dan (Samad et al, 2021). Di sisi lain, terdapat peneliti yang secara khusus mengkaji suatu repositori SUT, seperti yang dilakukan oleh Gay, G., & Just, R. (2020) yang mengkaji repository Defect4J (Gay and Just, 2020) dan (Sobreira et al, 2018).…”

Section: Pendahuluanunclassified

Software Under Test Dalam Penelitian Software Testing: Sebuah Review

Rahmani

Min

Suprihanto

2021

JTT

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Software under Test (SUT) is an essential aspect of software testing research activities. Preparation of the SUT is not simple. It requires accuracy, completeness and will affect the quality of the research conducted. Currently, there are several ways to utilize an SUT in software testing research: building an own SUT, utilization of open source to build an SUT, and SUT from the repository utilization. This article discusses the results of SUT identification in many software testing studies. The research is conducted in a systematic literature review (SLR) using the Kitchenham protocol. The review process is carried out on 86 articles published in 2017-2020. The article was selected after two selection stages: the Inclusion and Exclusion Criteria and the quality assessment. The study results show that the trend of using open source is very dominant. Some researchers use open source as the basis for developing SUT, while others use SUT from a repository that provides ready-to-use SUT. In this context, utilization of the SUT from the software infrastructure repository (SIR) and Defect4J are the most significant choice of researchers.

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Section: Pendahuluanunclassified

Software Under Test Dalam Penelitian Software Testing: Sebuah Review

Rahmani

Min

Suprihanto

2021

JTT

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A Framework for Optimizing Software Regression Test Case based on Modified-Ant Colony Optimization (M-ACO)

Silvarajoo

Alkawaz

2022

ITM Web Conf.

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Software Regression Testing (SRT) helps with the modified code to ensure that no other new defects have been trained and significantly impact the existing code. SRT is a time and cost taking process. Test Case Prioritization (TCP) helps to reschedule test cases (TC’S) and picks according to the prioritization, which allows the software testers to maximize the number of faults detected within a given time frame. Ant Colony Optimization (ACO) is an optimization algorithm motivated by the searching behavior of insects. This paper proposes a simple framework for the novel Modified-ACO (m-ACO) to prioritize the TC’s. m-ACO is planned as the adjusted type of the ACO method, which reschedules the execution sequence of TC’S by changing the wonder of characteristic insects for choosing their food source. The proposed Framework will help the software testers save their time to execute SRT TC’s. It has been tested for Zasta Billing Web Application and compared the time taken to complete the SRT manually and using the proposed Framework.The proposed Framework helps to reduce the time taken from 90 days to 45 days to achieve the SRT.

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Test suite optimization under multi-objective constraints for software fault detection and localization: Hybrid optimization based model

Freeda R,

Rajendran P

2024

WEB

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Testing and debugging have been the most significant steps of software development since it is tricky for engineers to create error-free software. Software testing takes place after coding with the goal of finding flaws. If errors are found, debugging would be done to identify the source of the errors so that they may be fixed. Detecting as well as locating defects are thus two essential stages in the creation of software. We have created a unique approach with the following two working phases to generate a minimized test suite that is capable of both detecting and localizing faults. In the initial test suite minimization process, the cases were generated and minimized based on the objectives such as D-score and coverage by the utilization of the proposed Blue Monkey Customized Black Widow (BMCBW) algorithm. After this test suite minimization, the fault validation is done which includes the process of fault detection and localization. For this fault validation, we have utilized an improved Long Short-Term Memory (LSTM). At 90% of the learning rate the accuracy of the presented work is 0.97%, 2.20%, 2.52%, 0.97% and 2.81% is better than the other extant models like AOA, COOT, BES, BMO and BWO methods. The results obtained proved that our Blue Monkey Customized Black Widow Optimization-based fault detection and localization approach can provide superior outcomes.

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Functional Requirement-Based Test Case Prioritization in Regression Testing: A Systematic Literature Review

Cited by 3 publications

References 110 publications

Software Under Test Dalam Penelitian Software Testing: Sebuah Review

Software Under Test Dalam Penelitian Software Testing: Sebuah Review

A Framework for Optimizing Software Regression Test Case based on Modified-Ant Colony Optimization (M-ACO)

Test suite optimization under multi-objective constraints for software fault detection and localization: Hybrid optimization based model

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