Comprehensive study of SIR: Leading SUT repository for software testing

Min, Jing; Rajabi, N; Rahmani, Ani

doi:10.1088/1742-6596/1869/1/012072

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…These benchmark programs are commonly employed in regression testing for comparison purposes. The Software-artifact Infrastructure Repository (SIR), which houses these programs and their corresponding test suites, served as the source for these resources [29]. Table 2 presents a description of the programs used for the first experiment.…”

Section: Installation and Configurationmentioning

confidence: 99%

Enhanced Regression Testing Execution Process Using Test Suite Reduction Techniques and Parallel Execution

nagy,

Amin,

Badr

2023

IJICIS

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Regression testing is a vital category of software testing. Regression testing is done to make sure that the changed code does not have any unexpected negative effects on the software. Regression testing, despite its significance in ensuring software quality, can be a costly phase in the software testing process. Typically, the more tests there are, the longer it takes for them to run. As a result, the price of regression testing rises with the quantity of tests. So, the objective is to reduce the execution time of the regression testing by removing test cases that are redundant or have lower importance in terms of their capacity to uncover faults. The primary aim of test case reduction is to decrease the number of test cases, which, in turn, lowers the time and expenses associated with their execution. This paper presents an approach to minimize the execution time of regression testing while preserving code coverage, achieved through the utilization of test suite reduction techniques and parallel automation execution. The employed test suite reduction approach involves utilizing a clustering technique and a genetic algorithm. The resulting reduced test suite is then executed in parallel to achieve the shortest possible execution time. The results demonstrate that the proposed approach can cut down execution time by 75%.

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Section: Installation and Configurationmentioning

confidence: 99%

Enhanced Regression Testing Execution Process Using Test Suite Reduction Techniques and Parallel Execution

nagy,

Amin,

Badr

2023

IJICIS

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“…Sejumlah SUT pada SIR telah tersedia secara lengkap dan banyak diminati para peneliti khususnya untuk program berbahasa C. Dari hasil identifikasi SUT pada tabel 3, dapat dilihat jumlah penelitian yang memanfaatkan program-program pada SIR cukup tinggi. Informasi mengenai SUT pada SIR dikupas cukup detail pada studi sebelumnya (Min et al, 2021). Tabel 5 adalah beberapa SUT berbahasa C pada SIR.…”

Section: Repositori Sutunclassified

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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On the Impact of Input Models on the Fault Detection Capabilities of Combinatorial Testing

Baumann,

Koroglu,

Wotawa

2024

SN COMPUT. SCI.

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Testing is an important activity to detect faults before software deployment. We focus on black-box combinatorial testing, where fault detection is one of the main objectives. In this paper, we argue that input model abstraction notably impacts the fault detection capability of a combinatorial test suite. First, we present experiments from previous work that support this argument. We then perform new experiments on a more diverse set of programs. These experiments use mutation testing to estimate fault detection capability, but we also include structural coverage measures in the new experiments. Finally, we elaborate on two possible improvements to obtain an optimal input abstraction strategy for not just continuous but all input domains. Both experiments suggest that input abstraction affects the fault detection capability. We claim that the improvements will produce a better input abstraction with which we can achieve better fault detection capability without increasing the test suite size.

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Comprehensive study of SIR: Leading SUT repository for software testing

Cited by 4 publications

References 5 publications

Enhanced Regression Testing Execution Process Using Test Suite Reduction Techniques and Parallel Execution

Enhanced Regression Testing Execution Process Using Test Suite Reduction Techniques and Parallel Execution

Software Under Test Dalam Penelitian Software Testing: Sebuah Review

On the Impact of Input Models on the Fault Detection Capabilities of Combinatorial Testing

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