Paper Info
Title
Comparison of systematically derived software metrics thresholds for object-oriented programming languages.
Abstract
Without reliable software metrics threshold values, the efficient quality evaluation of software could not be done. In order to derive reliable thresholds, we have to address several challenges, which impact the final result. For instance, software metrics implementations vary in various software metrics tools, including varying threshold values that result from different threshold derivation approaches. In addition, the programming language is also another important aspect. In this paper, we present the results of an empirical study aimed at comparing systematically obtained threshold values for nine software metrics in four object-oriented programming languages (i.e., Java, C++, C#, and Python). We addressed challenges in the threshold derivation domain within introduced adjustments of the benchmark-based threshold derivation approach. The data set was selected in a uniform way, allowing derivation repeatability, while input values were collected using a single software metric tool, enabling the comparison of derived thresholds among the chosen object-oriented programming languages. Within the performed empirical study, the comparison reveals that threshold values differ between different programming languages.
Year
DOI
Venue
2020
10.2298/CSIS181012035B
COMPUTER SCIENCE AND INFORMATION SYSTEMS
Keywords
DocType
Volume
software metrics,threshold values,reference values,object-oriented,benchmark data,programming language interdependence,reliable derivation,repeatability,replication
Journal
17
Issue
ISSN
Citations 
1
1820-0214
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Tina Beranic100.68
Marjan Hericko230544.16