System structure and software maintenance performance
Communications of the ACM
Software requirements & specifications: a lexicon of practice, principles and prejudices
Software requirements & specifications: a lexicon of practice, principles and prejudices
Classification of research efforts in requirements engineering
ACM Computing Surveys (CSUR)
Operational constraints in diagrammatic reasoning
Logical reasoning with diagrams
IEEE Standard Computer Dictionary: Compilation of IEEE Standard Computer Glossaries
IEEE Standard Computer Dictionary: Compilation of IEEE Standard Computer Glossaries
Chance discoveries for making decisions in complex real world
New Generation Computing
Artificial Intelligence and Software Engineering: Breaking the Toy Mold
Automated Software Engineering
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Chance discovery has achieved much success in discovering events that, though rare, are important to human decision making. Since humans are able to efficiently interact with graphical representations of data, it is useful to use visualizations for chance discovery. KeyGraph enables efficient visualization of data for chance discovery, but does not have provisions for adding domain-specific constraints. This contribution extends the concepts of KeyGraph to a visualization method based on the target sociogram. As the target sociogram is hierarchical in nature, it allows hierarchical constraints to be embedded in visualizations for chance discovery. The details of the hierarchical visualization method are presented and a class of problems is defined for its use. An example from software requirements engineering illustrates the efficacy of our approach.