Model checking
Dynamically Discovering Likely Program Invariants to Support Program Evolution
IEEE Transactions on Software Engineering - Special issue on 1999 international conference on software engineering
Bugs as deviant behavior: a general approach to inferring errors in systems code
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
The SLAM project: debugging system software via static analysis
POPL '02 Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
POPL '02 Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Automatic extraction of object-oriented component interfaces
ISSTA '02 Proceedings of the 2002 ACM SIGSOFT international symposium on Software testing and analysis
Automatically Inferring Temporal Properties for Program Evolution
ISSRE '04 Proceedings of the 15th International Symposium on Software Reliability Engineering
Synthesis of interface specifications for Java classes
Proceedings of the 32nd ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Software verification with BLAST
SPIN'03 Proceedings of the 10th international conference on Model checking software
Mining temporal specifications for error detection
TACAS'05 Proceedings of the 11th international conference on Tools and Algorithms for the Construction and Analysis of Systems
Detecting object usage anomalies
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
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The need to manually specify temporal properties of software systems is a major barrier to wider adoption of software model checking, because the specification of software temporal properties is a difficult, time-consuming, and error-prone process. To address this problem, we propose to automatically extract software library usage rules, which are one type of temporal specifications. Our approach uses a model checker to check a set of software library usage rule candidates against known good programs using that library, and identifies valid rules based on model checking results. These valid rules can help programmers learn about common software library usage. They can also be used to check new programs using the same library. We have implemented our approach in an Eclipse plug-in named LtRules, which can extract software library usage rules from C programs using BLAST as the underlying model checker.