Proceedings of the 2000 International Conference on Software Engineering. ICSE 2000 the New Millennium
DOI: 10.1109/icse.2000.870433
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A case study in root cause defect analysis

Abstract: There are three interdependent factors that drive our software development processes: interval, quality and cost. As market Dressures continue to demand new features ever more months.network, consisting of circuit packs, ASICs, software units, and a craft terminal. Total head count for this release was 180 people and the development project lasted for 19 rapidly, the challenge is to meet those demands while increasing, or at least not sacrificing, quality. One advantage of defect prevention as an upstream qual… Show more

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Cited by 37 publications
(80 citation statements)
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“…Construct Validity: Root Cause Analysis (RCA) is often performed on each defect (Leszak et al 2000). One possible threat to construct validity is that we performed our RCA on a summary of all defects.…”
Section: Threats To Validitymentioning
confidence: 99%
“…Construct Validity: Root Cause Analysis (RCA) is often performed on each defect (Leszak et al 2000). One possible threat to construct validity is that we performed our RCA on a summary of all defects.…”
Section: Threats To Validitymentioning
confidence: 99%
“…Simulations based on historical data could help in designing a program looking at a larger timeframe than is currently used in organizations. Figure 3, presents an example of taking a RCA analysis for determining why a project has many defects more than expected [35], and then redrawing it using mind maps, as suggested in [36]. Figure 3a shows the same elements from the original paper, while Figure 3b proposes a refined analysis using the "5why's game", showing 3-4 levels of depth.…”
Section: Focusing On Strategy: Making It Workmentioning
confidence: 99%
“…Figure 5 depicts the six categories of fault sources, which have been extracted and compiled from earlier work on fault localization [3,63] and root cause analysis [38]. Where applicable, the fault source description refers back to elements of the model discussed in Section 2.…”
Section: Fault Sourcesmentioning
confidence: 99%