TY  - JOUR
N2  - Software measurement is one of the management strategies for developing robust and maintainable software products. The complexities inherent in software design can be controlled using software metrics. Testability is one of the sub characteristics of the maintainability attribute of software and it is the desire of quality assurance to ensure that software components are easily testable. This study empirically investigates the suitability of software metrics as indicators of software testability. The case study approach to empirical software engineering research is used in the study. Data are collected from six open-source object-oriented software products. The data consist of fifteen metric measurements of Java classes and their respective Junit test cases. Statistical analysis is conducted to show the relationship between measurements of the classes and that of their test cases. The results of the analysis showed that the complexity and coupling metrics of the Java classes are suitable indicators of the testability of the classes of object-oriented software. Also, the magnitude of the relationship is observed to be weak, which implies that the metrics do not completely measure the level of difficulty in the task of developing test cases for classes; that is, some other factors involved in test case development are not captured by software metrics. © School of Engineering, Taylorâ??s University
IS  - 2
ID  - scholars13276
A1  - Bajeh, A.O.
A1  - Oluwatosin, O.-J.
A1  - Basri, S.
A1  - Akintola, A.G.
A1  - Balogun, A.O.
JF  - Journal of Engineering Science and Technology
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084135940&partnerID=40&md5=be757d89f49bcb6269ac15ae65888b11
VL  - 15
Y1  - 2020///
N1  - cited By 11
TI  - Object-oriented measures as testability indicators: An empirical study
SP  - 1092
AV  - none
EP  - 1108
PB  - Taylor's University
SN  - 18234690
ER  -