Name
Title | ||
|---|---|---|
Semantics Based Cohesion and Coupling Metrics for Evaluating Understandability of State Diagrams |
Abstract | ||
|---|---|---|
State diagrams commonly used for describing dynamic behavior of systems or objects can have various forms that specify the same behavior. Highly understandable state diagrams are important for efficient and clear communication between developers. Measurement of understandability of state diagrams is the first step to obtain highly understandable ones. Unfortunately, there is little research on metrics for evaluating state diagram's understandability. In this paper, we propose cohesion and coupling metrics, named Average Cohesiveness Of States (ACOS) and Average number of Similar States Of States (ASSOS), to evaluate understandability of state diagrams. To validate effectiveness of the metrics, we compared understandability of three state diagrams of different representations but the same behavior for two systems. The experiments showed that ACOS and ASSOS can capture understandability more correctly than existing structure-based metrics. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/COMPSAC.2011.57 | COMPSAC |
Keywords | Field | DocType |
similar states,coupling metrics,state diagram,structure-based metrics,average cohesiveness,dynamic behavior,understandable state diagram,average number,state diagrams,different representation,clear communication,computer aided software engineering,software metrics,computability,couplings,semantics,systems analysis | Cohesion (chemistry),Coupling,Systems engineering,Computer science,State diagram,Systems analysis,Computability,Computer-aided software engineering,Software metric,Semantics | Conference |
ISSN | Citations | PageRank |
0730-3157 | 1 | 0.34 |
References | Authors | |
20 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jung Ho Bae | 1 | 42 | 3.94 |
| Yeon Ji Jeong | 2 | 2 | 0.69 |
| Heung Seok Chae | 3 | 329 | 23.26 |
| Carl K. Chang | 4 | 1229 | 137.07 |