DocumentCode :
2165280
Title :
Statistically-based program size estimation
Author :
Takahashi, Muneo ; Miyake, Takeshi ; Hanata, Shuetsu
Author_Institution :
NTT Corp., Tokyo, Japan
fYear :
1989
fDate :
20-22 Sep 1989
Firstpage :
574
Lastpage :
579
Abstract :
A model for estimating program size, before coding of the program begins, on the basis of the complexity of the software is presented. The complexity of the software is computed from program logic charts with the Halstead metrics. The relationships between the complexity of the software and program size are then statistically analyzed by taking hypothesized environmental factors, such as program categories, into consideration. Results of an experiment show that, of the Halstead metrics, N1 is the most significant and reasonable as a metric for computing the complexity of the software from program logic charts. The results also show that the model based on this metric is more reliable than the conventional size estimation method
Keywords :
software reliability; statistical analysis; Halstead metrics; hypothesized environmental factors; program categories; program logic charts; program size estimation; reliable; software complexity; statistical analysis; Costs; Environmental factors; Laboratories; Logic; Predictive models; Programming; Size measurement; Software measurement; Telegraphy; Telephony;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference, 1989. COMPSAC 89., Proceedings of the 13th Annual International
Conference_Location :
Orlando, FL
Print_ISBN :
0-8186-1964-3
Type :
conf
DOI :
10.1109/CMPSAC.1989.65150
Filename :
65150
Link To Document :
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