Evaluating Predictive Models of Software Quality

Applications from High Energy Physics scientific community are constantly growing and implemented by a large number of developers. This implies a strong churn on the code and an associated risk of faults, which is unavoidable as long as the software undergoes active evolution. However, the necessiti...

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Bibliographic Details
Published in:Journal of physics. Conference series 2014-01, Vol.513 (5), p.52030-7
Main Authors: Ciaschini, V, Canaparo, M, Ronchieri, E, Salomoni, D
Format: Article
Language:English
Subjects:
Applications programs
Communities
Computer programs
Mathematical analysis
Mathematical models
Physics
Prediction models
Risk
Risk analysis
Software
Software quality
Thresholds
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Summary:Applications from High Energy Physics scientific community are constantly growing and implemented by a large number of developers. This implies a strong churn on the code and an associated risk of faults, which is unavoidable as long as the software undergoes active evolution. However, the necessities of production systems run counter to this. Stability and predictability are of paramount importance; in addition, a short turn-around time for the defect discovery-correction-deployment cycle is required. A way to reconcile these opposite foci is to use a software quality model to obtain an approximation of the risk before releasing a program to only deliver software with a risk lower than an agreed threshold. In this article we evaluated two quality predictive models to identify the operational risk and the quality of some software products. We applied these models to the development history of several EMI packages with intent to discover the risk factor of each product and compare it with its real history. We attempted to determine if the models reasonably maps reality for the applications under evaluation, and finally we concluded suggesting directions for further studies.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/513/5/052030