research-article

Change Analysis with Evolizer and ChangeDistiller

Authors:

Harald C. Gall,

Beat Fluri,

Martin PinzgerAuthors Info & Claims

IEEE Software, Volume 26, Issue 1

Pages 26 - 33

https://doi.org/10.1109/MS.2009.6

Published: 01 January 2009 Publication History

Publisher Site

Abstract

Changes are the heartbeat of a software system. Software must change to reflect new business, pro cess, and technology requirements, or it will become progressively less useful. Software typically grows and becomes more complex, inducing more time and effort for performing changes. Software archives such as source code version-control systems and issue-tracking systems (for bugs and change requests) are rich sources to examine what changes have what impact on the software. A software evolution analysis platform called Evolizer analyzes change histories and potential support for evolution. Change types, a core part of the analysis, help discover significant changes and change patterns. A tool called ChangeDistiller enables fine-grained change type extraction and analysis to reason about coding conventions, control or exception flow, and even code and comment coevolution. An investigation of open source and commercial software systems contributed to a deeper understanding of how researchers can actively support software evolution in an integrated development environment.

Cited By

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Bittner PSchultheiß AMoosherr BKehrer TThüm Td'Amorim M(2024)Variability-Aware Differencing with DiffDetectiveCompanion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering10.1145/3663529.3663813(632-636)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3663529.3663813
Glock JRoychoudhury APaiva AAbreu RStorey M(2024)Aiding Developer Understanding of Software Changes via Symbolic Execution-based Semantic DifferencingProceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings10.1145/3639478.3639783(142-144)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3639478.3639783
Presler-Marshall KHeckman SStolee KHaiduc SSchneider J(2023)Improving Grading Outcomes in Software Engineering Projects through Automated Contributions SummariesProceedings of the 45th International Conference on Software Engineering: Software Engineering Education and Training10.1109/ICSE-SEET58685.2023.00030(259-270)Online publication date: 17-May-2023
https://dl.acm.org/doi/10.1109/ICSE-SEET58685.2023.00030
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Index Terms

Change Analysis with Evolizer and ChangeDistiller
1. Information systems
  1. Information systems applications
    1. Data mining
2. Software and its engineering
  1. Software creation and management
    1. Software post-development issues
      1. Software reverse engineering
      2. Software version control
  2. Software notations and tools
    1. Software configuration management and version control systems

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Information

Published In

IEEE Software Volume 26, Issue 1

January 2009

100 pages

ISSN:0740-7459

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Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 January 2009

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Bittner PSchultheiß AMoosherr BKehrer TThüm Td'Amorim M(2024)Variability-Aware Differencing with DiffDetectiveCompanion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering10.1145/3663529.3663813(632-636)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3663529.3663813
Glock JRoychoudhury APaiva AAbreu RStorey M(2024)Aiding Developer Understanding of Software Changes via Symbolic Execution-based Semantic DifferencingProceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings10.1145/3639478.3639783(142-144)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3639478.3639783
Presler-Marshall KHeckman SStolee KHaiduc SSchneider J(2023)Improving Grading Outcomes in Software Engineering Projects through Automated Contributions SummariesProceedings of the 45th International Conference on Software Engineering: Software Engineering Education and Training10.1109/ICSE-SEET58685.2023.00030(259-270)Online publication date: 17-May-2023
https://dl.acm.org/doi/10.1109/ICSE-SEET58685.2023.00030
Van der Plas JStiévenart QDe Roover C(2023)Result Invalidation for Incremental Modular AnalysesVerification, Model Checking, and Abstract Interpretation10.1007/978-3-031-24950-1_14(296-319)Online publication date: 16-Jan-2023
https://dl.acm.org/doi/10.1007/978-3-031-24950-1_14
Silva RFarah PVergilio S(2022)Machine Learning for Change-Prone Class Prediction: A History-Based ApproachProceedings of the XXXVI Brazilian Symposium on Software Engineering10.1145/3555228.3555249(289-298)Online publication date: 5-Oct-2022
https://dl.acm.org/doi/10.1145/3555228.3555249
Ghime VKhadsare AJana AChimdyalwar B(2022)IR Mapping: Intermediate Representation (IR) based Mapping to facilitate Incremental Static AnalysisProceedings of the 15th Innovations in Software Engineering Conference10.1145/3511430.3511451(1-5)Online publication date: 24-Feb-2022
https://dl.acm.org/doi/10.1145/3511430.3511451
Pinzger MGiger EGall H(2021)Comparing fine-grained source code changes and code churn for bug prediction - A retrospectiveACM SIGSOFT Software Engineering Notes10.1145/3468744.346875146:3(21-23)Online publication date: 21-Jul-2021
https://dl.acm.org/doi/10.1145/3468744.3468751
Macho CBeyer SMcIntosh SPinzger M(2021)The nature of build changesEmpirical Software Engineering10.1007/s10664-020-09926-426:3Online publication date: 16-Mar-2021
https://dl.acm.org/doi/10.1007/s10664-020-09926-4
Martinez MMonperrus MMussbacher GAtlee JBultan T(2019)ComingProceedings of the 41st International Conference on Software Engineering: Companion Proceedings10.1109/ICSE-Companion.2019.00043(79-82)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.1109/ICSE-Companion.2019.00043
Alexandru CPanichella SProksch SGall H(2019)Redundancy-free analysis of multi-revision software artifactsEmpirical Software Engineering10.1007/s10664-018-9630-924:1(332-380)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1007/s10664-018-9630-9
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Clear Climate Code: Rewriting Legacy Science Software for Clarity

Distributed and Collaborative Software Evolution Analysis with Churrasco

Reverse Engineering and Design Recovery: A Taxonomy

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