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Defect Density Prediction with Six Sigma Thomas Fehlmann Abstract Can we predict defect density in advance for software that’s going into production? – The answer is “yes”, if you apply statistical methods to req
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Document Date: 2013-05-18 11:08:50


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Princeton / software engineering / Joensuu / Pittsburgh / Roma / Wiesbaden / Bradford / /

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Bayesian Networks / /

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Italy / United Kingdom / Finland / /

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Carnegie-Mellon University / IT Infrastructure Library / Software Engineering Institute / /

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software engineering / calculation tools / software development processes / software projects / software development project / software problems / software sizing standards / Software engineers / software requirements definition / software developers / software product / software solution / software engineering model framework / software development / /

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RD LeOR / PI VER / RD VAL / Software Engineering Institute / VoC LeOR / VoC Ops / VoC RD / TS VER / VAL VER / VAL Ops / Carnegie-Mellon University / RD VoC / VER LeOR / /

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Norman Fenton / Now / /

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model / /

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Pennsylvania / /

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IEEE Transactions on Software Engineering / /

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T-1 / Process Control / /

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www.lrgl.uqam.ca/cosmicfpp / http /

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