Proceedings of 1994 IEEE International Symposium on Software Reliability Engineering
DOI: 10.1109/issre.1994.341388
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Identifying risk using ODC based growth models

Abstract: This paper uses the relative growth of defects, classified using Orthogonal Defect Classification to get a finer insight into dynamics of the software development process during later parts of testing. This is particularly useful to help identify management actions to better use people resources (both skill and stafing levels) to respond to dificulties ezperienced with the product in test. Specifically, the technique helps to: 0 Identify the reasons for instability in the product demonstrated by growth modelli… Show more

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Cited by 16 publications
(10 citation statements)
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“…ADOPTING ODC IN SOFTWARE DEVELOPMENT ODC has its own life cycle, which we can integrate into the Iterative software development lifecycle .With this integration, we can monitor software quality status at each development phase [7]. And if we find some abnormalities in our result we Figure 1:Relation bet ween SDLC and ODC Therefore, for any given phase, defect detection measures should be taken.…”
Section: A Defect Triggermentioning
confidence: 99%
“…ADOPTING ODC IN SOFTWARE DEVELOPMENT ODC has its own life cycle, which we can integrate into the Iterative software development lifecycle .With this integration, we can monitor software quality status at each development phase [7]. And if we find some abnormalities in our result we Figure 1:Relation bet ween SDLC and ODC Therefore, for any given phase, defect detection measures should be taken.…”
Section: A Defect Triggermentioning
confidence: 99%
“…We choose this model because it built on previous findings by Chillarege et al [3] and Chillarege and Biyani [2]. Also, the S-shaped model is often observed in real projects [19].…”
Section: Figure 1: Concave and S-shaped Reliability Growth Modelsmentioning
confidence: 99%
“…From our experience 1 and that of others, 2,3 we have found that about half the failure reports generated by a supposed software failure are either unusable or, after a detailed examination, reveal problems that cannot be attributed to software. 4 Thus, data filtering is essential because accurate reliability analysis can only be conducted on filtered data.…”
Section: Referencementioning
confidence: 99%
“…Such statistics are commonly used by some companies. 4,5 The accumulation and analysis of information about several projects, products, and releases provides a company with better insights into its products and the impact of the development process on them.…”
Section: Referencementioning
confidence: 99%
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