The effects of fault counting methods on fault model quality
Over the past several years, we have been developing methods of predicting the fault content of software systems based on measured characteristics of their structural evolution.
Engineering topics
Publications and source records attributed to Munson, J. C..
Over the past several years, we have been developing methods of predicting the fault content of software systems based on measured characteristics of their structural evolution.
In this paper, we analyze the measurements of structural evolution and fault counts obtained from the JPL flight software technology development effort.
In this paper, we analyze the measurements of structural evolution and fault couts obtained from the JPL flight software technology development effort.
Over the past several years, we have focused on developing fault models for space mission software. In general, these models use measurable attributes of a software system and its development process to estimate the number of faults inserted into the system during its development; their outputs can be used to better estimate the resources to be allocated to fault identification and removal for all system components.
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As part of our on-going work in modeling software faults, we have developed a method of unambiguously identifying and counting faults.
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In this paper we present a practical software fault measurement and estimation framework.
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Risk analysis and integrated verification and validation are two important elements in a plan for ensuring the safety of critical software systems. We describe an approach we are currently developing for integrating risk analysis, and metrics analysis, and propose a fault predictor that would integrate the results of these activities. Practical difficulties associated with our approach are also discussed, as are limitations of the proposed predictor. We conclude with a discussion of what as been learned to date, and with suggestions for future work.