Lightweight lexical source model extraction
ACM Transactions on Software Engineering and Methodology (TOSEM)
Refactoring: improving the design of existing code
Refactoring: improving the design of existing code
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Generating Robust Parsers using Island Grammars
WCRE '01 Proceedings of the Eighth Working Conference on Reverse Engineering (WCRE'01)
An XML-Based Lightweight C++ Fact Extractor
IWPC '03 Proceedings of the 11th IEEE International Workshop on Program Comprehension
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
Perracotta: mining temporal API rules from imperfect traces
Proceedings of the 28th international conference on Software engineering
Static specification inference using predicate mining
Proceedings of the 2007 ACM SIGPLAN conference on Programming language design and implementation
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
Static Specification Mining Using Automata-Based Abstractions
IEEE Transactions on Software Engineering
Enabling static analysis for partial java programs
Proceedings of the 23rd ACM SIGPLAN conference on Object-oriented programming systems languages and applications
Javert: fully automatic mining of general temporal properties from dynamic traces
Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering
Graph-based mining of multiple object usage patterns
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Alattin: Mining Alternative Patterns for Detecting Neglected Conditions
ASE '09 Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering
Mining Temporal Specifications from Object Usage
ASE '09 Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering
Extracting significant specifications from mining through mutation testing
ICFEM'11 Proceedings of the 13th international conference on Formal methods and software engineering
Automatic inference of model fields and their representation
Proceedings of the 13th Workshop on Formal Techniques for Java-Like Programs
Static detection of brittle parameter typing
Proceedings of the 2012 International Symposium on Software Testing and Analysis
Statically checking API protocol conformance with mined multi-object specifications
Proceedings of the 34th International Conference on Software Engineering
Cloning in DSLs: experiments with OCL
SLE'11 Proceedings of the 4th international conference on Software Language Engineering
Typestate-based semantic code search over partial programs
Proceedings of the ACM international conference on Object oriented programming systems languages and applications
How do developers react to API deprecation?: the case of a smalltalk ecosystem
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
Dynamic anomaly detection for more trustworthy outsourced computation
ISC'12 Proceedings of the 15th international conference on Information Security
Mining source code repositories at massive scale using language modeling
Proceedings of the 10th Working Conference on Mining Software Repositories
Beyond data mining; towards "idea engineering"
Proceedings of the 9th International Conference on Predictive Models in Software Engineering
Chucky: exposing missing checks in source code for vulnerability discovery
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
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Real production code contains lots of knowledge - on the domain, on the architecture, and on the environment. How can we leverage this knowledge in new projects? Using a novel lightweight source code parser, we have mined more than 6,000 open source Linux projects (totaling 200,000,000 lines of code) to obtain 16,000,000 temporal properties reflecting normal interface usage. New projects can be checked against these rules to detect anomalies - that is, code that deviates from the wisdom of the crowds. In a sample of 20 projects, ~25% of the top-ranked anomalies uncovered actual code smells or defects.