Lackwit: a program understanding tool based on type inference
ICSE '97 Proceedings of the 19th international conference on Software engineering
Parametric shape analysis via 3-valued logic
Proceedings of the 26th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Program Development in Java: Abstraction, Specification, and Object-Oriented Design
Program Development in Java: Abstraction, Specification, and Object-Oriented Design
Design by Contract: The Eiffel Method
TOOLS '98 Proceedings of the Technology of Object-Oriented Languages and Systems
Dynamically discovering likely program invariants
Dynamically discovering likely program invariants
Towards the Reverse Engineering of UML Sequence Diagrams
WCRE '03 Proceedings of the 10th Working Conference on Reverse Engineering
Object naming analysis for reverse-engineered sequence diagrams
Proceedings of the 27th international conference on Software engineering
Mining object behavior with ADABU
Proceedings of the 2006 international workshop on Dynamic systems analysis
Automatic generation of software behavioral models
Proceedings of the 30th international conference on Software engineering
Automatic workarounds as failure recoveries
Proceedings of the 2008 Foundations of Software Engineering Doctoral Symposium
Service-Oriented Architectures Testing: A Survey
Software Engineering
Synthesizing intensional behavior models by graph transformation
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
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Specification recovery is a necessary step of many reverse engineering and reuse efforts. This paper deals with recovering the semantic part of a component's interface. It focuses on stateful components that provide data abstractions. Recovery is achieved by following a black-box strategy, i.e. by observing the component's dynamic behavior. Among the published approaches, Heureka recovers algebraic specifications from Java classes. Another approach (Adabu) recovers behavioral models. The work we describe here adapts the latter, which provides an approximate semantic description for the class, to significantly optimize the former. The resulting approach, called Adiheu, is described in the paper with a preliminary assessment.