Accession Number : ADA344440
Title : Statistical Software Engineering
Descriptive Note : Final rept. 18 Mar 93-6 Mar 96
Corporate Author : NATIONAL ACADEMY OF SCIENCES WASHINGTON DC BOARD ON MATHEMATICAL SCIENCES
Personal Author(s) : Tucker, John R.
Report Date : 13 APR 1998
Pagination or Media Count : 82
Abstract : This report spotlights problem areas in software engineering to which the application of modern statistical methodology can be fruitfully applied. It was produced by an expert cross-disciplinary National Research Council panel. The panel deliberated, discussed, and made recommendations based upon their experience and on information gathered at a two-day public forum at which there were presentations by 12 software and industrial engineers, scientists, and statisticians. The most important findings are: What is needed to address the challenge of cost-effectively building huge high quality software systems is productive interactions between software engineers and statisticians. Essential catalysts for this interactions include: Following a collaborative model that partners statisticians, software engineers and a REAL software process or product; following a model for data collection and analysis that ensures availability of high quality data for statistical approaches to software engineering issues; and paying attention to relevant issues in education, such as in the areas of designed experiments, exploratory data analysis, modeling, risk analysis, attitudes toward assumptions, visualization, and statistical computing tools.
Descriptors : *SOFTWARE ENGINEERING , *PROBLEM SOLVING , *STATISTICAL ANALYSIS , COMPUTER PROGRAMS , DATA PROCESSING , METHODOLOGY , SYMPOSIA , INDUSTRIES , TOOLS , REPORTS , STATISTICS , DATA ACQUISITION , CATALYSTS , ENGINEERS , LIGHTING EQUIPMENT , PERSONNEL , RISK ANALYSIS.
Subject Categories : STATISTICS AND PROBABILITY
COMPUTER PROGRAMMING AND SOFTWARE
Distribution Statement : APPROVED FOR PUBLIC RELEASE