Artificial intelligence and software engineering
ICSE '87 Proceedings of the 9th international conference on Software Engineering
The temporal logic of reactive and concurrent systems
The temporal logic of reactive and concurrent systems
Supporting Scenario-Based Requirements Engineering
IEEE Transactions on Software Engineering
Inferring Declarative Requirements Specifications from Operational Scenarios
IEEE Transactions on Software Engineering
Concurrency: state models & Java programs
Concurrency: state models & Java programs
Requirements engineering in the year 00: a research perspective
Proceedings of the 22nd international conference on Software engineering
Agent-based tactics for goal-oriented requirements elaboration
Proceedings of the 24th International Conference on Software Engineering
Deriving operational software specifications from system goals
Proceedings of the 10th ACM SIGSOFT symposium on Foundations of software engineering
Some Alternative Formulations of the Event Calculus
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Machine Learning and Software Engineering
Software Quality Control
Goal-Oriented Requirements Engineering: A Guided Tour
RE '01 Proceedings of the Fifth IEEE International Symposium on Requirements Engineering
Fluent model checking for event-based systems
Proceedings of the 9th European software engineering conference held jointly with 11th ACM SIGSOFT international symposium on Foundations of software engineering
Active learning for automatic classification of software behavior
ISSTA '04 Proceedings of the 2004 ACM SIGSOFT international symposium on Software testing and analysis
Fluent temporal logic for discrete-time event-based models
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
Extracting Requirements from Scenarios with ILP
Inductive Logic Programming
Information and Software Technology
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Goal orientation is an increasingly recognised Requirements Engineering paradigm. However, integration of goal modelling with operational models remains an open area for which the few techniques that exist are cumbersome and impractical. In particular, the derivation of operational models and operational requirements from goals is a manual and tedious task which is, currently, only partially supported by operationalisation patterns. In this position paper we propose a framework for supporting such tasks by combining model checking and machine learning. As a proof of concept we instantiate the framework to show that progress checks and inductive learning can be used to infer preconditions and hence to support derivation of operational models.