EconPapers    
Economics at your fingertips  
 

Can Statistical Methods Help Solve Problems in Software Measurement?

Frederick G. Sayward
Additional contact information
Frederick G. Sayward: Yale University, Department of Computer Science

A chapter in Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface, 1981, pp 192-198 from Springer

Abstract: Abstract The study of software metrics involves the creation and analysis of quantitative indices of merit which can be assigned to software, either existing or proposed. These measurements of software provide informational aids to be used in making software lifecycle decisions. A panel commissioned to analyze and evaluate the problems in the emerging field of software metrics has recently issued a report. An overview of the panel’s findings, including how statisticians might be of help in solving some problems in software measurement, is presented.

Keywords: Cost estimation; human factors; manpower loading; program complexity measures; single subject experiment; software experiments; software lifecycle; software metrics; software reliability estimation (search for similar items in EconPapers)
Date: 1981
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4613-9464-8_28

Ordering information: This item can be ordered from
http://www.springer.com/9781461394648

DOI: 10.1007/978-1-4613-9464-8_28

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-12
Handle: RePEc:spr:sprchp:978-1-4613-9464-8_28