A systematic review of software architecture evolution research

Hongyu Pei Breivold; Ivica Crnkovic; Magnus Larsson

doi:10.1016/j.infsof.2011.06.002

A systematic review of software architecture evolution research

Information and Software Technology ◽

10.1016/j.infsof.2011.06.002 ◽

2012 ◽

Vol 54 (1) ◽

pp. 16-40 ◽

Cited By ~ 70

Author(s):

Hongyu Pei Breivold ◽

Ivica Crnkovic ◽

Magnus Larsson

Keyword(s):

Systematic Review ◽

Software Architecture ◽

Architecture Evolution

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A Verification-Based Approach to Evaluate Software Architecture Evolution

Chinese Journal of Electronics ◽

10.1049/cje.2017.03.009 ◽

2017 ◽

Vol 26 (3) ◽

pp. 485-492 ◽

Cited By ~ 1

Author(s):

Bixin Li ◽

Li Liao ◽

Ximeng Yu

Keyword(s):

Software Architecture ◽

Architecture Evolution

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Meta-Evolution Style for Software Architecture Evolution

Lecture Notes in Computer Science - SOFSEM 2016: Theory and Practice of Computer Science ◽

10.1007/978-3-662-49192-8_39 ◽

2016 ◽

pp. 478-489 ◽

Cited By ~ 3

Author(s):

Adel Hassan ◽

Mourad Oussalah

Keyword(s):

Software Architecture ◽

Architecture Evolution

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Evolution Impact on Architecture Stability in Open-Source Projects

International Journal of Cloud Applications and Computing ◽

10.4018/ijcac.2015100102 ◽

2015 ◽

Vol 5 (4) ◽

pp. 24-35 ◽

Cited By ~ 3

Author(s):

Mamdouh Alenezi ◽

Fakhry Khellah

Keyword(s):

Software Architecture ◽

Open Source ◽

Open Source Software ◽

Quality Standard ◽

Management Style ◽

Efficient Technique ◽

Maintenance Cost ◽

Software Systems ◽

Architecture Evolution

Software systems usually evolve constantly, which requires constant development and maintenance. Subsequently, the architecture of these systems tends to degrade with time. Therefore, stability is a key measure for evaluating an architecture. Open-source software systems are becoming progressively vital these days. Since open-source software systems are usually developed in a different management style, the quality of their architectures needs to be studied. ISO/IEC SQuaRe quality standard characterized stability as one of the sub-characteristics of maintainability. Unstable software architecture could cause the software to require high maintenance cost and effort. In this work, the authors propose a simple, yet efficient, technique that is based on carefully aggregating the package level stability in order to measure the change in the architecture level stability as the architecture evolution happens. The proposed method can be used to further study the cause behind the positive or negative architecture stability changes.

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