NDLI: Understanding the nature of software evolution

Content Provider	IEEE Xplore Digital Library
Author	Nikora, A.P. Munson, J.C.
Copyright Year	2003
Description	Author affiliation: Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA (Nikora, A.P.)
Abstract	Over the past several years, we have been developing methods of measuring the change characteristics of evolving software systems. Not all changes to software systems are equal. Some changes to these systems are very small and have low impact on the system as a whole. Other changes are substantial and have a very large impact of the fault proneness of the complete system. In this study we will identify the sources of variation in the set of software metrics used to measure the system. We will then study the change characteristics to the system over a large number of builds. We have begun a new investigation in these areas in collaboration with a flight software technology development effort at the Jet Propulsion Laboratory (JPL) and have progressed in resolving the limitations of the earlier work in two distinct steps. First, we have developed a standard for the enumeration of faults. This new standard permits software faults to be measured precisely and accurately. Second, we have developed a practical framework for automating the measurement of these faults. This new standard and fault measurement process was then applied to a software system's structural evolution during its development. Every change to the software system was measured and every fault was identified and tracked to a specific code module. The measurement process was implemented in a network appliance, minimizing the impact of measurement activities on development efforts and enabling the comparison of measurements across multiple development efforts. In this paper, we analyze the measurements of structural evolution and fault counts obtained from the JPL flight software technology development effort. Our results indicate that the measures of structural attributes of the evolving software system are suitable for forming predictors of the number of faults inserted into software modules during their development, and that some types of change are more likely to result in the insertion of faults than others. The new fault standard also insures that the model so developed has greater predictive validity.
Sponsorship	IEEE Comput. Soc. Tech. Council on Software Eng.(TCSE) Software Improvement Group Raincode Microsoft City of Amsterdam
Starting Page	83
Ending Page	93
File Size	369916
Page Count	11
File Format	PDF
ISBN	0769519059
ISSN	10636773
DOI	10.1109/ICSM.2003.1235409
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-22
Publisher Place	The Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software measurement Software systems Standards development Collaborative software Measurement standards Software standards Software metrics Collaborative work Propulsion Laboratories
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Developing fault predictors for evolving software systems

A group communication support system in a software development project based on trouble communication model

The effects of fault counting methods on fault model quality

Software productivity metrics-new initiatives in making it work (panel)

Getting started on metrics-Jet Propulsion Laboratory productivity and quality

Understanding the nature of collaboration in open-source software development

Understanding Code Patterns Analysis, Interpretation and Measurement

Personality and the nature of collaboration in pair programming

Taxonomy of process modeling languages

Understanding the nature of software evolution

Similar Documents

Developing fault predictors for evolving software systems

A group communication support system in a software development project based on trouble communication model

The effects of fault counting methods on fault model quality

Software productivity metrics-new initiatives in making it work (panel)

Getting started on metrics-Jet Propulsion Laboratory productivity and quality

Understanding the nature of collaboration in open-source software development

Understanding Code Patterns Analysis, Interpretation and Measurement

Personality and the nature of collaboration in pair programming

Taxonomy of process modeling languages

Understanding the nature of software evolution