An Experiment in Small-Scale Application Software Engineering

This paper reports the results of an experiment in applying large-scale software engineering procedures to small software projects. Two USC student teams developed a small, interactive application software product to the same specification, one using Fortran and one using Pascal. Several hypotheses...

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Vydáno v:IEEE transactions on software engineering Ročník SE-7; číslo 5; s. 482 - 493
Hlavní autor: Boehm, B.W.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.09.1981
IEEE Computer Society
Témata:
Application software
Applications
Applied mathematics
Computer languages
Computer programming
Computer science
Deadlines
Development
Documentation
Engineering management
Experiments
Graduate students
Hypotheses
Large-scale systems
Product development
Product testing
Programming
Programming languages
programming methodology
Project management
Projects
Software
Software development
Software development management
Software engineering
software management
software project data
Software testing
Teams
ISSN:0098-5589, 1939-3520
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Abstract This paper reports the results of an experiment in applying large-scale software engineering procedures to small software projects. Two USC student teams developed a small, interactive application software product to the same specification, one using Fortran and one using Pascal. Several hypotheses were tested, and extensive experimenal data collected. The major conclusions were as follows.
AbstractList This paper reports the results of an experiment in applying large-scale software engineering procedures to small software projects. Two USC student teams developed a small, interactive application software product to the same specification, one using Fortran and one using Pascal. Several hypotheses were tested, and extensive experimenal data collected. The major conclusions were as follows.
This paper reports the results of an experiment in applying large-scale software engineering procedures to small software projects. Two USC student teams developed a small, interactive application software product to the same specification, one using Fortran and one using Pascal. Several hypotheses were tested, and extensive experimental data collected. The major conclusions were as follows.
First-year graduate students in software engineering at the University of Southern California (Los Angeles) were told to deliver a small interactive version of the COCOMO model for estimating software costs. Two teams specified and developed independent versions of this product, one team using Fortran, the other using Pascal. At the conclusion of the project, it was determined that: 1. Large-scale software engineering procedures, such as unit development folders and walkthroughs, can be cost-effectively tailored to small projects. 2. The choice of programming language is not the dominant factor in small software product development. 3. Programming is not the dominant activity in small software product development. 4. Intermediate ''deadlines'' can help to assure on-time completion of small software projects. 5. Most of the code in a small applications software product is devoted to ''housekeeping.''
Author Boehm, B.W.
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Cites_doi 10.1145/359588.359602
10.1109/TSE.1975.6312836
10.1016/0164-1212(79)90020-7
10.1109/T-C.1974.224002
10.1109/IRET-EM.1961.5007599
10.1007/BF01946816
10.1147/sj.161.0054
10.1109/TC.1976.1674590
10.1109/TSE.1978.231521
10.1145/800027.808439
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Copyright Copyright Institute of Electrical and Electronics Engineers, Inc. (IEEE) Sep 1981
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Snippet This paper reports the results of an experiment in applying large-scale software engineering procedures to small software projects. Two USC student teams...
First-year graduate students in software engineering at the University of Southern California (Los Angeles) were told to deliver a small interactive version of...
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SubjectTerms Application software
Applications
Applied mathematics
Computer languages
Computer programming
Computer science
Deadlines
Development
Documentation
Engineering management
Experiments
Graduate students
Hypotheses
Large-scale systems
Product development
Product testing
Programming
Programming languages
programming methodology
Project management
Projects
Software
Software development
Software development management
Software engineering
software management
software project data
Software testing
Teams
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