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1.	Staron, Miroslaw, 1977, et al. (author) Consequences of Mispredictions of Software Reliability: A Model and its Industrial Evaluation 2014 In: IWSM Mensura 2014. Conference paper (other academic/artistic)abstract Predicting reliability of software under development is an important part of estimations in software engineering projects. In many organizations as the goal is that software products are released with no known defects, the process of finding and removing defects correlates with the effort for software projects. Software development projects estimate the resources needed to design, develop, test and release software products, and the number of defects which have to be handled. In this paper we present a model for consequence analysis of inaccurate predictions of quality in software projects. The model is a result of multiple case studies and is evaluated at two companies. The model recognizes the most common mispredictions – e.g. over- and under-prediction, early- and late-predictions – and the combination of theses. The results from the industrial evaluation show that the consequences can be grouped according to under- and over-predictions and that the late- and early-predictions have the same consequences. The results show also that mispredicting the shape of the reliability curve has a significant consequence with regard to assessment of release readiness and resource planning.

Staron, Miroslaw, 1977, et al. (author)
Consequences of Mispredictions of Software Reliability: A Model and its Industrial Evaluation
2014
In: IWSM Mensura 2014.
Conference paper (other academic/artistic)abstract
- Predicting reliability of software under development is an important part of estimations in software engineering projects. In many organizations as the goal is that software products are released with no known defects, the process of finding and removing defects correlates with the effort for software projects. Software development projects estimate the resources needed to design, develop, test and release software products, and the number of defects which have to be handled. In this paper we present a model for consequence analysis of inaccurate predictions of quality in software projects. The model is a result of multiple case studies and is evaluated at two companies. The model recognizes the most common mispredictions – e.g. over- and under-prediction, early- and late-predictions – and the combination of theses. The results from the industrial evaluation show that the consequences can be grouped according to under- and over-predictions and that the late- and early-predictions have the same consequences. The results show also that mispredicting the shape of the reliability curve has a significant consequence with regard to assessment of release readiness and resource planning.

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