Empirical Studies of Evolving Systems

Authors:
K. Bennett;E. Burd;C. Kemerer;M. M. Lehman;M. Lee;R. Madachy;C. Mair;D. Sjoberg;S. Slaughter
Affiliations:
Department of Computer Science, University of Durham, UK;Department of Computer Science, University of Durham, UK;Katz Graduate School of Business, University of Pittsburgh, USA;Department of Computing, Imperial College, UK;Department of Informatics & Simulation, RMCS, Cranfield University, UK;Litton Guidance and Control Systems, USC Center for Software Engineering, USA;Design, Engineering and Computing, University of Bournemouth, UK;Department of Informatics, University of Oslo;Graduate School of Industrial Administrations, Carnegie Melon University, USA
Venue:
Empirical Software Engineering
Year:
1999

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Abstract

This paper describes the resultsof the working group investigating the issues of empirical studiesfor evolving systems. The groups found that there were many issuesthat were central to successful evolution and this concludedthat this is a very important area within software engineering.Finally nine main areas were selected for consideration. Foreach of these areas the central issues were identified as wellas success factors. In some cases success stories were also describedand the critical factors accounting for the success analysed.In some cases it was later found that a number of areas wereso tightly coupled that it was important to discuss them together.