Measurement of language-supported reuse in object-oriented and object-based software
Journal of Systems and Software - Special issue on software reuse
LL and LR translators need k1 lookahead
ACM SIGPLAN Notices
GENOA—a customizable, front-end-retargetable source code analysis framework
ACM Transactions on Software Engineering and Methodology (TOSEM)
A relations-based approach for simplifying metrices extraction
ACM SIGAPP Applied Computing Review - Special issue on new applications of parsing tools
DARE: Domain analysis and reuse environment
Annals of Software Engineering
A relational approach to software metrics
Proceedings of the 2004 ACM symposium on Applied computing
IEEE Transactions on Software Engineering
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This paper introduces the Simple API for Object-Oriented Code Metrics or SAM. SAM has two distinct advantages over current application generators for metrics. First, SAM can collect a much larger set of metrics since it maintains context during metrics analysis. Second, SAM is completely language independent since it specifies the types of events a parser must generate, but not how to generate those events. Through examples, we will demonstrate how our API allows us to collect metrics not possible with application generators. We will also demonstrate how SAM can reduce the lines of code per metric by up to 90 percent when measured against some of today's most popular standalone tools.