Computer Engineering / Bilgisayar Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/10

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Author: search.filters.author.Tuğlular, TuğkanPublisher: search.filters.publisher.Institute of Electrical and Electronics Engineers

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  • Conference Object
    Citation - WoS: 4
    Citation - Scopus: 5
    Code Change Sniffer: Predicting Future Code Changes With Markov Chain
    (Institute of Electrical and Electronics Engineers, 2021) Ufuktepe, Ekincan; Tuğlular, Tuğkan
    Code changes are one of the essential processes of software evolution. These changes are performed to fix bugs, improve quality of software, and provide a better user experience. However, such changes made in code could lead to ripple effects that can cause unwanted behavior. To prevent such issues occurring after code changes, code change prediction, change impact analysis techniques are used. The proposed approach uses static call information, forward slicing, and method change information to build a Markov chain, which provides a prediction for code changes in the near future commits. For static call information, we utilized and compared call graph and effect graph. We performed an evaluation on five open-source projects from GitHub that varies between 5K-26K lines of code. To measure the effectiveness of our proposed approach, recall, precision, and f-measure metrics have been used on five open-source projects. The results show that the Markov chain that is based on call graph can have higher precision compared to effect graph. On the other hand, for small number of cases higher recall values are obtained with effect graph compared to call graph. With a Markov chain model based on call graph and effect graph, we can achieve recall values between 98%-100%. © 2021 IEEE.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    Mutation Operators for Decision Table-Based Contracts Used in Software Testing
    (Institute of Electrical and Electronics Engineers, 2020) Khalilov, Abbas; Tuğlular, Tuğkan; Belli, Fevzi
    The Design by Contract technique allows developers to improve source code with contracts, and testing using contracts helps to identify faults. However, the source code of the program under test is not always available. With black-box testing, it is possible to generate contracts from specifications of the software. In this paper, we apply mutation analysis on a model of a given specifications, where mutants are initially gained by applying proposed in this paper certain mutation operators on corresponding model, and then mutated specifications are examined. © 2020 IEEE.