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Monitoring Evolution of Code Complexity in Agile/Lean Software Development - A Case Study at Two Companies

Antinyan, Vard, 1984 (author)
Gothenburg University,Göteborgs universitet,Software Center,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU),University of Gothenburg
Staron, Miroslaw, 1977 (author)
Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Software Center,Department of Computer Science and Engineering (GU),University of Gothenburg
Meding, Wilhelm (author)
Telefonaktiebolaget L M Ericsson,Ericsson
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Österströ, Per, 1970 (author)
Telefonaktiebolaget L M Ericsson,Ericsson
Bergenwall, Henric, 1970 (author)
Telefonaktiebolaget L M Ericsson,Ericsson
Wranker, Johan, 1970 (author)
Telefonaktiebolaget L M Ericsson,Ericsson
Hansson, Jörgen, 1970 (author)
Högskolan i Skövde,University of Skövde
Henriksson, Anders, 1970 (author)
Högskolan i Skövde,University of Skövde
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 (creator_code:org_t)
2013
2013
English.
In: 13th Symposium on Programming Languages and Software Tools, SPLST 2013 - Proceedings. - 9789633062289 ; , s. 1-15
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • One of the distinguishing characteristics of Agile and Lean software development is that software products “grow” with new functionality with relatively small increments. Continuous customer demands of new features and the companies’ abilities to deliver on those demands are the two driving forces behind this kind of software evolution. Despite the numerous benefits there are a number of risks associated with this kind of growth. One of the main risks is the fact that the complexity of the software product grows slowly, but over time reaches scales which makes the product hard to maintain or evolve. The goal of this paper is to present a measurement system for monitoring the growth of complexity and drawing attention when it becomes problematic. The measurement system was developed during a case study at Ericsson and Volvo Group Truck Technology. During the case study we explored the evolution of size, complexity, revisions and number of designers of two large software products from the telecom and automotive domains. The results show that two measures needed to be monitored to keep the complexity development under control - McCabe’s complexity and number of revisions.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Keyword

software engineering
programming
complexity
complexity

Publication and Content Type

ref (subject category)
kon (subject category)

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