AS/400 software quality management

Kan, Stephen H.; Dull, S. D.; Amundson, D. N.; Lindner, René; Hedger, R. J.

doi:10.1147/sj.331.0062

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…The effort of requirements change and defect correction decreases from EffDist wcreq and EffDist wcdc respectively, depending on WEM. These assumptions are partly supported by [17][18][19][20][21]. 4.…”

Section: Model Assumptionsmentioning

confidence: 85%

“…The duration will also relate to what development phase it occurs in. Literature reports that the ratio of the cost of finding and fixing a defect during design, test, and field use is 1 to 13 to 92 [20] or 1 to 20 to 82 [21].…”

Section: Adaptive Rework Effort Modelmentioning

confidence: 99%

“…The reason why EffDist wcar has a larger standard deviation than the others is that some residual defects bring multiple changes in a product, as described in Sect.2.2. For WEM, a simple linear model ranging from 0.05 to 1.0 is used, which can represent a factor of 20 differences of defect correction cost during design and test [20,21].…”

Section: Project Data and Parametersmentioning

confidence: 99%

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Project Cost Overrun Simulation in Software Product Line Development

Nonaka

Zhu

Babar

et al.

Product-Focused Software Process Improvement

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Abstract. The cost of a Software Product Line (SPL) development project sometimes exceeds the initially planned cost, because of requirements volatility and poor quality. In this paper, we propose a cost overrun simulation model for time-boxed SPL development. The model is an enhancement of a previous model, specifically now including: consideration of requirements volatility, consideration of unplanned work for defect correction during product projects, and nominal project cost overrun estimation. The model has been validated through stochastic simulations with fictional SPL project data, by comparing generated unplanned work effort to actual change effort, and by sensitivity analysis. The result shows that the proposed model has reasonable validity to estimate nominal project cost overruns and its variability. Analysis indicates that poor management of requirements and quality will almost double estimation error, for the studied simulation settings.

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Section: Model Assumptionsmentioning

confidence: 85%

Section: Adaptive Rework Effort Modelmentioning

confidence: 99%

Section: Project Data and Parametersmentioning

confidence: 99%

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