Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7118
Title: A program slicing-based Bayesian network model for change impact analysis
Authors: Ufuktepe, Ekincan
Tuğlular, Tuğkan
Ufuktepe, Ekincan
Tuğlular, Tuğkan
Izmir Institute of Technology. Computer Engineering
Keywords: Bayesian network
Change impact analysis
Program analysis
Open source software
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Ufuktepe, E., and Tuğlular, T. (2018, July 16-20). A program slicing-based Bayesian network model for change impact analysis. Paper presented at the 18th IEEE International Conference on Software Quality, Reliability, and Security, QRS 2018. doi:10.1109/QRS.2018.00062
Abstract: Change impact analysis plays an important role in identifying potential affected areas that are caused by changes that are made in a software. Most of the existing change impact analysis techniques are based on architectural design and change history. However, source code-based change impact analysis studies are very few and they have shown higher precision in their results. In this study, a static method-granularity level change impact analysis, that uses program slicing and Bayesian Network technique has been proposed. The technique proposes a directed graph model that also represents the call dependencies between methods. In this study, an open source Java project with 8999 to 9445 lines of code and from 505 to 528 methods have been analyzed through 32 commits it went. Recall and f-measure metrics have been used for evaluation of the precision of the proposed method, where each software commit has been analyzed separately.
Description: 18th IEEE International Conference on Software Quality, Reliability, and Security, QRS 2018; Lisbon; Portugal; 16 July 2018 through 20 July 2018
URI: http://doi.org/10.1109/QRS.2018.00062
http://hdl.handle.net/11147/7118
ISBN: 9781538677575
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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