Abstract
The software maintenance process and the important software quality attributes that affect the maintenance effort are discussed. Among these quality attributes, the stability of a program, which indicates the resistance to the potential ripple effect that the program would have when it is modified, is an important one. Measures for estimating the stability of a program and the modules of which the program is composed are presented, and an algorithm for computing these stability measures is given. Application of these measures during the maintenance phase is discussed along with an example. Further research efforts involving validation of the stability measures, application of these measures during the design phase, and restructuring based on these measures are also discussed.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - IEEE Computer Society's International Computer Software and Applications Conference |
| Publisher | IEEE |
| Pages | 674-679 |
| Number of pages | 6 |
| State | Published - 1979 |
| Externally published | Yes |
| Event | Proc IEEE Comput Soc Int Comput Software Appl Conf 3rd - Chicago, IL, USA Duration: Nov 6 1979 → Nov 8 1979 |
Other
| Other | Proc IEEE Comput Soc Int Comput Software Appl Conf 3rd |
|---|---|
| City | Chicago, IL, USA |
| Period | 11/6/79 → 11/8/79 |
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ASJC Scopus subject areas
- Software
Cite this
SOME STABILITY MEASURES FOR SOFTWARE MAINTENANCE. / Yau, Sik-Sang; Collofello, James.
Proceedings - IEEE Computer Society's International Computer Software and Applications Conference. IEEE, 1979. p. 674-679.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - SOME STABILITY MEASURES FOR SOFTWARE MAINTENANCE.
AU - Yau, Sik-Sang
AU - Collofello, James
PY - 1979
Y1 - 1979
N2 - The software maintenance process and the important software quality attributes that affect the maintenance effort are discussed. Among these quality attributes, the stability of a program, which indicates the resistance to the potential ripple effect that the program would have when it is modified, is an important one. Measures for estimating the stability of a program and the modules of which the program is composed are presented, and an algorithm for computing these stability measures is given. Application of these measures during the maintenance phase is discussed along with an example. Further research efforts involving validation of the stability measures, application of these measures during the design phase, and restructuring based on these measures are also discussed.
AB - The software maintenance process and the important software quality attributes that affect the maintenance effort are discussed. Among these quality attributes, the stability of a program, which indicates the resistance to the potential ripple effect that the program would have when it is modified, is an important one. Measures for estimating the stability of a program and the modules of which the program is composed are presented, and an algorithm for computing these stability measures is given. Application of these measures during the maintenance phase is discussed along with an example. Further research efforts involving validation of the stability measures, application of these measures during the design phase, and restructuring based on these measures are also discussed.
UR - http://www.scopus.com/inward/record.url?scp=0018719302&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0018719302&partnerID=8YFLogxK
M3 - Chapter
AN - SCOPUS:0018719302
SP - 674
EP - 679
BT - Proceedings - IEEE Computer Society's International Computer Software and Applications Conference
PB - IEEE
ER -