Statistical software engineering / Panel on Statistical Methods in Software Engineering, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences, Commission on Physical Sciences, Mathematics, and Applications, National Research Council.

Format:

Book

Author/Creator:

National Research Council (U.S.). Panel on Statistical Methods in Software Engineering.

Language:

English

Subjects (All):

Software engineering--Statistical methods.

Software engineering.

Physical Description:

1 online resource (83 p.)

Edition:

1st ed.

Place of Publication:

Washington, D.C. : National Academy Press, 1996.

Language Note:

English

Summary:

This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.

Contents:

Statistical Software Engineering

Copyright

Preface

Contents

Executive Summary

PURPOSE AND SCOPE OF THIS STUDY

CONTENTS OF THIS REPORT

STATISTICAL CHALLENGES

SUMMARY AND CONCLUSIONS

1 Introduction

2 Case Study: NASA Space Shuttle Flight Control Software

OVERVIEW OF REQUIREMENTS

THE OPERATIONAL LIFE CYCLE

A STATISTICAL APPROACH TO MANAGING THE SOFTWARE PRODUCTION PROCESS

Fault Detection

Safety Certification

3 A Software Production Model

PROBLEM FORMULATION AND SPECIFICATION OF REQUIREMENTS

DESIGN

IMPLEMENTATION

TESTING

4 Critique of Some Current Applications of Statistics in Software Engineering

COST ESTIMATION

Statistical Inadequacies in Estimating

Process Volatility

Maturity and Data Granularity

Reliability of Model Inputs

Managing to Estimates

ASSESSMENT AND RELIABILITY

Reliability Growth Modeling

Influence of the Development Process on Software Dependability

Influence of the Operational Environment on Software Dependability

Safety-Critical Software and the Problem of Assuring Ultrahigh Dependability

Design Diversity, Fault Tolerance, and General Issues of Dependence

Judgment and Decision-making Framework

Structural Modeling Issues

Experimentation, Data Collection, and General Statistical Techniques

SOFTWARE MEASUREMENT AND METRICS

5 Statistical Challenges

SOFTWARE ENGINEERING EXPERIMENTAL ISSUES

COMBINING INFORMATION

VISUALIZATION IN SOFTWARE ENGINEERING

Configuration Management Data

Function Call Graphs

Test Code Coverage

Code Metrics

Challenges for Visualization

Opportunities for Visualization

ORTHOGONAL DEFECT CLASSIFICATION

6 Summary and Conclusions

INSTITUTIONAL MODEL FOR RESEARCH

MODEL FOR DATA COLLECTION AND ANALYSIS

ISSUES IN EDUCATION

References

Appendix: Forum Program.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references (p. 67-71).

ISBN:

9786610192748

9780309176088

0309176085

9781280192746

1280192747

9780309588546

0309588545

9780585002101

058500210X

OCLC:

42328502