Evaluating Software Development by Analysis of Changes: Some Data from the Software Engineering Laboratory

An effective data collection methodology for evaluating software development methodologies was applied to five different software development projects. Results and data from three of the projects are presented. Goals of the data collection included characterizing changes, errors, projects, and progr...

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Veröffentlicht in:	IEEE transactions on software engineering 1985-02, Vol.SE-11 (2), p.157-168
Hauptverfasser:	Weiss, D.M., Basili, V.R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerospace engineering Application software Applied sciences Attitudes Computer engineering Computer Programming And Software Computer science Computer science control theory systems Data analysis Data collection Development Electrical engineering Engineering Error correction Error correction codes Evaluation Exact sciences and technology Hardware International conferences Investigations Laboratories Methods Objectives Pattern analysis Programming profession Projects Software Software change analysis software change data Software development Software engineering software errors software measurement Software testing Testing
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Beschreibung
Zusammenfassung:	An effective data collection methodology for evaluating software development methodologies was applied to five different software development projects. Results and data from three of the projects are presented. Goals of the data collection included characterizing changes, errors, projects, and programmers, identifying effective error detection and correction techniques, and investigating ripple effects.
ISSN:	0098-5589 1939-3520
DOI:	10.1109/TSE.1985.232190