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Monitoring evolution of code complexity and magnitude of changes
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- Antinyan, Vard (author)
- Department of Computer Science and Engineering, Chalmers, University of Gothenburg, Gothenburg, Sweden
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- Staron, Miroslaw (author)
- Department of Computer Science and Engineering, Chalmers, University of Gothenburg, Gothenburg, Sweden
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- Hansson, Jörgen, 1970- (author)
- Department of Computer Science and Engineering, Chalmers, University of Gothenburg, Gothenburg, Sweden
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- (creator_code:org_t)
- 2014
- 2014
- English.
- In: Acta Cybernetica. - : University of Szeged, Institute of Informatics. - 0324-721X. ; 21:3, s. 367-382
- Journal article (peer-reviewed)
Abstract
Subject headings
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- Complexity management has become a crucial activity in continuous software development. While the overall perceived complexity of a product grows rather insignificantly, the small units, such as functions and files, can have noticeable complexity growth with every increment of product features. This kind of evolution triggers risks of escalating fault-proneness and deteriorating maintainability. The goal of this research was to develop a measurement system which enables effective monitoring of complexity evolution. An action research has been conducted in two large software development organizations. We have measured three complexity and two change properties of code for two large industrial products. The complexity growth has been measured for five consecutive releases of the products. Different patterns of growth have been identified and evaluated with software engineers in industry. The results show that monitoring cyclomatic complexity evolution of functions and number of revisions of files focuses the attention of designers to potentially problematic files and functions for manual assessment and improvement. A measurement system was developed at Ericsson to support the monitoring process.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Keyword
- Agile
- Change
- Code
- Complexity
- Correlation
- Lean
- Measurement systems
- Metrics
- Revision
- Risk
- Codes (symbols)
- Correlation methods
- Risks
- Software design
- Measurement system
- Risk assessment
Publication and Content Type
- ref (subject category)
- art (subject category)
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