Model-based assessment of software evolution processes

This paper argues that quantitative process models must be considered essential to support sustained improvement of E-type software evolution processes and summarises some of the experiences gained in the FEAST projects to date. Modelling guidelines are provided

Proceedings of the Twenty-Third Annual Software Engineering Workshop

The Twenty-third Annual Software Engineering Workshop (SEW) provided 20 presentations designed to further the goals of the Software Engineering Laboratory (SEL) of the NASA-GSFC. The presentations were selected on their creativity. The sessions which were held on 2-3 of December 1998, centered on the SEL, Experimentation, Inspections, Fault Prediction, Verification and Validation, and Embedded Systems and Safety-Critical Systems

A model of noisy software engineering data (status report

ABSTRACT other projects in the database. Software development data is highly variable, which of-ten result,s in underlying trends being hidden. In or-der to address this problem, a method of data analy-sis, adapted from the financial community, is presented that permits the shape of the curve of some activity to be reduced to a few line segments, called the character-istic curve. This process is used on sample data from the NASA/GSFC Software Engineering Laboratory and has shown to be a reasonable method to understand ttie underlying process being plotted