Paper Info
Title
Empirical Validation of Metrics for UML Statechart Diagrams
Abstract
It is widely recognised that the quality of Object Oriented Software Systems (OOSS) must be assessed from the early stages of their development. OO Conceptual models are key artifacts produced at these early phases, which cover not only static aspects but also dynamic aspects. Therefore, focusing on quality aspects of conceptual models could contribute to produce better quality OOSS. While quality aspects of structural diagrams, such as class diagrams, have being widely researched, the quality of behavioural diagrams such as statechart diagrams have been neglected. This fact leaded us to define a set of metrics for measuring their structural complexity. In order to gather empirical evidence that the structural complexity of statechart diagrams are related with their understandability we carried out a controlled experiment in a previous work. The aim of this paper is to present a replication of that experiment. The findings obtained in the replication corroborate the results of the first experiment in the sense that at some extent, the number of transitions, the number of states and the number of activities influence statechart diagrams understandability.
Year
DOI
Venue
2003
10.1007/1-4020-2673-0_12
ENTERPRISE INFORMATION SYSTEMS V
Keywords
Field
DocType
Object Oriented Software Systems maintainability,UML bchavioural diagrams,UML statechart diagrams,structural complexity metrics,empirical validation,experiment replica
Data mining,UML state machine,Empirical evidence,Conceptual model,Software engineering,Object-oriented programming,Computer science,State diagram,Software system,Story-driven modeling,Class diagram
Conference
Citations 
PageRank 
References 
10
0.67
24
Authors
3
Name
Order
Citations
PageRank
David Miranda1243.10
Marcela Genero296860.55
Piattini, M.3182.29