A Review and Evaluation of Software Science
ACM Computing Surveys (CSUR)
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
Extending Halstead's software science for a more precise measure of APL
APL '82 Proceedings of the international conference on APL
APL and Halstead's theory of software metrics
APL '81 Proceedings of the international conference on APL
Probability, Statistics, and Queueing Theory with Computer Science Applications
Probability, Statistics, and Queueing Theory with Computer Science Applications
Reliance on correlation data for complexity metric use and validation
ACM SIGPLAN Notices
APL Extended Compared With Other Languages According to Halstead's Theory
ACM SIGPLAN Notices
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Some ten years ago M. H. Halstead and his collaborators at Purdue University set up a theory allowing to measure the characteristics of software and their relations. One of these characteristics is the language level allowing to compare the respective effects of these languages on the productivity of programming. This language level has been evaluated for APL by the author (APL81) and by R. A. Mauri and A. H. Williams (APL82), the latter taking into account the distinction in APL between primitive functions and operators. The results are compared and some reflections are given.