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