Change Impact Analysis: A Tool for Effective Regression Testing

Parashar, Prem; Bhatia, Rajesh; Kalia, Arvind

doi:10.1007/978-3-642-19423-8_17

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…This framework can be used by researchers to highlight the contribution of their work and can also help in choosing appropriate test selection techniques for practical purposes. Bible et al [11] [24,25] proposed a test case prioritisation technique which prioritises test case according to their time-fault ratio (TFR). An algorithm named as FTCP is presented which ensures that the fault which has the least value of TFR must be detected first.…”

Section: Research Articlementioning

confidence: 99%

“…Some preliminary work was also carried out in the field of test case prioritisation, test case generation and object oriented testing. Parashar et al [24, 25] proposed a test case prioritisation technique which prioritises test case according to their time–fault ratio (TFR). An algorithm named as FTCP is presented which ensures that the fault which has the least value of TFR must be detected first.…”

Section: Literature Reviewmentioning

confidence: 99%

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Regression test selection using class, sequence and activity diagrams

2016

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Regression test selection is a process to select a subset of existing test cases, which are then used with some new test cases for regression testing. Regression testing ensures that the changes made to the system have not affected the existing functionality. To date, there is no adequate technique which can do regression test selection by considering changes in semantics of operations (along with the other syntax and semantics changes) using UML diagrams. Change in semantics of an operation refers to the change in conditional statements, change in independent paths/unique paths, change in control flow and addition or deletion of any content from the existing functionality. In this study, a novel approach is presented which can do this using class, sequence and activity diagrams. The tool compared old and new versions of UML diagrams to categorise test cases into reusable, retestable, obsolete and newly generated category. Activity diagrams are specifically used to test the semantics of operations. The changed operations corresponding to these activity diagrams are also searched in class and sequence diagrams for regression test selection. This study has been validated by comparison with previous study. It is found that the authors' work provides significant increase in accuracy.

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Section: Research Articlementioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Regression test selection using class, sequence and activity diagrams

2016

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“…Impact analysis of software code is always been a thrust area developers and researchers. So many approaches to achieve this task have been proposed by researchers on their literature for performing IA [3], [5], [6]. The approaches opted are categorized into some traditional and modern techniques.…”

Section: Introductionmentioning

confidence: 99%

Detection of Syntax Similarity of Source Code using a Graph based Hybrid Technique

Pathik*,

Sharma

2020

IJITEE

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Software evolves inherently due to change requirement. The change request applied with intent to achieve the appropriate functionality of the software. This change inside the code makes some differences in previous code. Changes in somewhere in existing code may also affect some other part of the code. Our focus is on finding similarity of two codes to draw static call graph and program dependency graph which shows the dependencies and data flow among various part of the code then apply a distance metrics to find the percentage of similarity between two codes. This paper presents a dependency graph based hybrid technique (DGHT) for detection of similarity of two variations of python code. This method also includes a Machine learning technique which analyzes syntactic structure of object oriented software system. The objective is to apply the outcomes of this work on change impact analysis. The results of the framework will help to estimate actual impact set to optimize testing efforts.

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