Accession Number : ADA302320

Title :   An Experiment in Software Development Risk Information Analysis.

Descriptive Note : Final rept.,

Corporate Author : CARNEGIE-MELLON UNIV PITTSBURGH PA SOFTWARE ENGINEERING INST

Personal Author(s) : Monarch, Ira ; Gluch, David P.

PDF Url : ADA302320

Report Date : OCT 1995

Pagination or Media Count : 47

Abstract : This report summarizes the results of an experiment that uses terminological structures derived from the application of knowledge summarization, analysis, and visualization (K-SAV) technology to textual data from the Software Engineering Risk Repository (SERR) resident at the Software Engineering Institute. This study evaluates the use of several tools including shared word clustering (Monarch 94) and a co-word analysis software program, leximappe Tell 92. The experiment seeks to determine whether an application of co-word analysis to baseline risk assessment data would enable a reduction of the information load while simultaneously providing a succinct but encompassing picture of the risk information within the program. This study is based upon a somewhat limited data set. Nevertheless, the results of this investigation are encouraging and suggest that there may be value and potential for the effective use of co-word analysis and K-SAV technology more generally in risk management. Additional investigations are underway to confirm, alter, or challenge the results.

Descriptors :   *SOFTWARE ENGINEERING, *RISK, *EXPERIMENTAL DESIGN, MANAGEMENT, CLUSTERING, SHARING, BASE LINES, WORDS(LANGUAGE).

Subject Categories : Computer Programming and Software

Distribution Statement : APPROVED FOR PUBLIC RELEASE