Using Source Code Metrics for Predicting Metamorphic Relations at Method Level

被引:0
|
作者
Duque-Torres, Alejandra [1 ]
Pfahl, Dietmar [1 ]
Klammer, Claus [2 ]
Fischer, Stefan [2 ]
机构
[1] Institute of Computer Science, University of Tartu, Tartu, Estonia
[2] Software Competence Center Hagenberg (SCCH) GmbH, Hagenberg, Austria
关键词
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Data flow analysis - Flow graphs - Forecasting - Support vector machines
引用
收藏
页码:1147 / 1154
相关论文
共 50 条
  • [21] Predicting the Maintainability of Open Source Software Using Design Metrics
    ZHOU Yuming1
    2. Department of Computing
    3. Jiangsu Institute of Software Quality
    Wuhan University Journal of Natural Sciences, 2008, (01) : 14 - 20
  • [22] Early prediction of quality of service using interface-level metrics, code-level metrics, and antipatterns
    Abid, Chaima
    Kessentini, Marouane
    Wang, Hanzhang
    INFORMATION AND SOFTWARE TECHNOLOGY, 2020, 126
  • [23] Predicting different levels of the unit testing effort of classes using source code metrics: a multiple case study on open-source software
    Toure F.
    Badri M.
    Lamontagne L.
    Innovations in Systems and Software Engineering, 2018, 14 (1) : 15 - 46
  • [24] Predicting of Open Source Software Component Reusability Level Using Object-Oriented Metrics by Taguchi Approach
    Saini, G. L.
    Panwar, Deepak
    Kumar, Sandeep
    Singh, Vijander
    Poonia, Ramesh Chandra
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2021, 31 (02) : 147 - 166
  • [25] Object Oriented Metrics Based Empirical Model for Predicting “Code Smells” in Open Source Software
    Kaur S.
    Singh S.
    Journal of The Institution of Engineers (India): Series B, 2023, 104 (01) : 241 - 257
  • [26] Towards Using Code Coverage Metrics for Performance Comparison on the Implementation Level
    Menninghaus, Mathias
    Pulvermueller, Elke
    PROCEEDINGS OF THE 2016 ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING (ICPE'16), 2016, : 101 - 104
  • [27] Using Software Metrics for Predicting Vulnerable Code-Components: A Study on Java']Java and Python']Python Open Source Projects
    Chong, Tai-Yin
    Anu, Vaibhav
    Sultana, Kazi Zakia
    2019 22ND IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (IEEE CSE 2019) AND 17TH IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (IEEE EUC 2019), 2019, : 98 - 103
  • [28] CodeShovel: Constructing Method-Level Source Code Histories
    Grund, Felix
    Chowdhury, Shaiful
    Bradley, Nick C.
    Hall, Braxton
    Holmes, Reid
    2021 IEEE/ACM 43RD INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2021), 2021, : 1510 - 1522
  • [29] Source Code Metrics and Maintainability: A Case Study
    Hegedus, Peter
    Bakota, Tibor
    Illes, Laszlo
    Ladanyi, Gergely
    Ferenc, Rudolf
    Gyimothy, Tibor
    SOFTWARE ENGINEERING, BUSINESS CONTINUITY, AND EDUCATION, 2011, 257 : 272 - +
  • [30] Source Code Metrics for Software Defects Prediction
    Rebro, Dominik Arne
    Rossi, Bruno
    Chren, Stanislav
    38TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2023, 2023, : 1469 - 1472