A Review and Evaluation of Software Science
ACM Computing Surveys (CSUR)
The architecture of concurrent programs
The architecture of concurrent programs
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
An Experiment in Software Science
Proceedings of a Symposium on Language Design and Programming Methodology
Structured design methodologies
DAC '78 Proceedings of the 15th Design Automation Conference
Natural laws controlling algorithm structure?
ACM SIGPLAN Notices
Principles of Program Design
A note on metrics of Pascal programs
ACM SIGPLAN Notices
An Empirical Study of a Model for Program Error Prediction
IEEE Transactions on Software Engineering
Software metrics and measurement principles
ACM SIGSOFT Software Engineering Notes
An empirical study of a model for program error prediction
ICSE '85 Proceedings of the 8th international conference on Software engineering
A validation of software metrics using many metrics and two resources
ICSE '85 Proceedings of the 8th international conference on Software engineering
Calculation and use of an environment's characteristic software metric set
ICSE '85 Proceedings of the 8th international conference on Software engineering
ACM '85 Proceedings of the 1985 ACM annual conference on The range of computing : mid-80's perspective: mid-80's perspective
A Critique of Software Defect Prediction Models
IEEE Transactions on Software Engineering
The measurement of software design quality
Annals of Software Engineering
Software engineering economics
Software pioneers
Identifying exogenous drivers and evolutionary stages in FLOSS projects
Journal of Systems and Software
Testing the theory of relative defect proneness for closed-source software
Empirical Software Engineering
A paradigm comparison for collecting TV channel statistics from high-volume channel zap events
Proceedings of the 5th ACM international conference on Distributed event-based system
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Karl Popper has described the scientific method as “the method of bold conjectures and ingenious and severe attempts to refute them”. Software Science has made “bold conjectures” in postulating specific relationships between various 'metrics' of software code and in ascribing psychological interpretations to some of these metrics. This paper describes tests made on the validity of the relationships and interpretations which form the foundations of Software Science. The results indicate that the majority of them represent neither natural laws nor useful engineering approximations.