A Second Replicated Quantitative Analysis of Fault Distributions in Complex Software Systems

Tihana Galinac Grbac, Per Runeson, Darko Huljenic

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

35 Citeringar (SciVal)
214 Nedladdningar (Pure)

Sammanfattning

Background. Software engineering is in search for general principles that apply across contexts, for example to help guide software quality assurance. Fenton and Ohlsson presented such observations on fault distributions, which have been replicated once. Objectives.We intend to replicate their study a second time in a new environment. Method.We conducted a close replication, collecting defect data from five consecutive releases of a large software system in the telecommunications domain, and conducted the same analysis as in the original study. Results. The replication confirms results on un-evenly distributed faults over modules, and that fault proneness distribution persist over test phases. Size measures are not useful as predictors of fault proneness, while fault densities are of the same order of magnitude across releases and contexts. Conclusions. This replication confirms that the un-even distribution of defects motivates un-even distribution of quality assurance efforts, although predictors for such distribution of efforts are not sufficiently precise.
Originalspråkengelska
Sidor (från-till)462-476
TidskriftIEEE Transactions on Software Engineering
Volym39
Utgåva4
DOI
StatusPublished - 2013

Ämnesklassifikation (UKÄ)

  • Datavetenskap (datalogi)

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