An experiment comparing Fortran programming times with the software physics hypothesis

Gordon, Ronald D.; Halstead, M. H.

doi:10.1145/1499799.1499927

Cited by 21 publications

(8 citation statements)

References 12 publications

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“…Early research in software science demonstrated that it had been possible to estimate the amount of effort expended during program construction using a formula closely related to this measure of program clarity [23,84].…”

Section: Discussionmentioning

confidence: 99%

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Measuring Improvements in Program Clarity

Gordon

1979

IIEEE Trans. Software Eng.

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The sharply rising cost incurred during the production of quality software has brought with it the need for the development of new techniques of software measurement.In particular, the ability to objectively assess the clarity of a program is essential In order to rationally develop useful engineering gUidel ines for efficient software production and language development.A functional relation between the clarity of a program and the number and frequency of operators and operands which occur in the program Is presented. This measure of program clarity provides an estimate of the amount of mental effort required to understand the program, assuming that the reader Is fluent in the programming language employed. This measure is tested by applying it to several published examples which demonstrate improvements in program clarity. The objective assessment which is provided using this measure is found to agree with the experimental data gathered.

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Section: Discussionmentioning

confidence: 99%

“…In one experiment, ZisI15 [84] In another experiment performed by Gordon and Halstead [23], eleven problems were selected from two published sources.…”

Section: N1mentioning

confidence: 99%

Measuring Improvements in Program Clarity

Gordon

1979

IIEEE Trans. Software Eng.

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“…SQM RELATIONSHIP.-Maintainability TOOLS: LOGISCOPE, Verilog USA Inc., Alexandria, VA PC-Metric, SET Laboratories, Inc., Mulino, OR F " RENCES: Albrecht and Gaffney 1983;Arthur 1983;Bulut 1974;Carver 1986;Coulter 1983;Elshoff 1976;Fitzsimmons 1978;Funrami 1976;Gordon 1976Halstead 1972Halstead , 1977Halstead , 1979Halstead and Zislis 1973;jones 1978;Kafura and Reddy 1987;Lassez 1981;Li and Cheung 1987;; Shen, Conte, and Dunsmore…”

Section: Critical Analysismentioning

confidence: 99%

Software Quality Metrics

Pries¹,

Quigley²

2008

Project Management of Complex and Embedded Systems

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“…The theory of software science has grown to include quantitative measures of program level, language level, algorithm purity, program clarity, the effect of modularization, programming effort, and programming time. Preliminary tests of the theory have shown very high correlations between the software science metrics and such measures as the number of bugs in programs (Funami and Halstead [10]; Cornell and Halstead [8]), programming time (Gordon and Halstead [12]), and quality of programs (Elshoff [9]; Halstead [16]; Bulut and Halstead [5]; Gordon [11]). …”

Section: Kolence's Theory Of Software Physicsmentioning

confidence: 99%

A Review and Evaluation of Software Science

1978

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During recent years, there have been many attempts to define and measure the "complexity" of a computer program. Maurme Halstead has developed a theory that gives objective measures of software complexity. Various studms and experiments have shown that the theory's predictmns of the number of bugs in programs and of the time required to implement a program are amazingly accurate. It is a promising theory worthy of much more probing scientific investigation.This paper reviews the theory, called "software science," and the evidence supporting it. A bmef description of a related theory, called "software physics," is included.

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An experiment comparing Fortran programming times with the software physics hypothesis

Cited by 21 publications

References 12 publications

Measuring Improvements in Program Clarity

Measuring Improvements in Program Clarity

Software Quality Metrics

A Review and Evaluation of Software Science

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