Models and Measurements for Quality Assessment of Software
ACM Computing Surveys (CSUR)
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
Third time charm: Stronger prediction of programmer performance by software complexity metrics
ICSE '79 Proceedings of the 4th international conference on Software engineering
A model for program complexity analysis
ICSE '78 Proceedings of the 3rd international conference on Software engineering
A measurement of structure for unstructured programming languages
Proceedings of the software quality assurance workshop on Functional and performance issues
Psychological complexity of computer programs: an experimental methodology
ACM SIGPLAN Notices
An extension to the cyclomatic measure of program complexity
ACM SIGPLAN Notices
A Measure of Control Flow Complexity in Program Text
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Program Complexity and Programmer Productivity
IEEE Transactions on Software Engineering
Measuring program complexity in a COBOL environment
AFIPS '80 Proceedings of the May 19-22, 1980, national computer conference
A methodology for minimizing maintenance costs
AFIPS '83 Proceedings of the May 16-19, 1983, national computer conference
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Program complexity is a topic often discussed in the literature. Research is ongoing in verifying existing complexity measures. There is also a continuing effort to produce and validate new approaches to a complexity measure which incorporate ideas from a variety of areas. Too often, however, approaches to complexity measurement center on a particular aspect of a program, e.g., structures, without incorporating other relevant program characteristics. The question to be answered, then, is, What aspects of a program contribute to its complexity? This paper presents a first step in answering this question. Preliminary results are presented from a Delphi Survey on program complexity. The survey was sent to a cross-section of programmers, managers and software experts. Respondents rated a large number of characteristics as to their effect on program complexity. The paper summarizes the results and includes preliminary analyses.