Estimating Software Size from Counts of Externals, a Generalization of Function Points

GaffneyJr., John E.; Werling, Richard

doi:10.1007/978-3-642-77795-0_8

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2010

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Cited by 4 publications

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“…Gaffney and Davis [6,7] of the Software Productivity Consortium developed a phase-based model, which makes the use of fault statistics obtained during the technical review of requirements, design, and the coding to predict reliability.…”

Section: Related Workmentioning

confidence: 99%

Fault Prediction Model by Fuzzy Profile Development of Reliability Relevant Software Metrics

Pandey¹,

Goyal²

2010

IJCA

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This paper presents a fault prediction model using reliability relevant software metrics and fuzzy inference system. For this a new approach is discussed to develop fuzzy profile of software metrics which are more relevant for software fault prediction. The proposed model predicts the fault density at the end of each phase of software development using relevant software metrics. On the basis of fault density at the end of testing phase, total number of faults in the software is predicted. The model seems to useful for both software engineer as well as project manager to optimally allocate resources and achieve more reliable software within the time and cost constraints. To validate the prediction accuracy, the model results are validated using PROMISE Software Engineering Repository Data set.

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Section: Related Workmentioning

confidence: 99%