Code and data spatial complexity: two important software understandability measures

被引：0
|
作者：
Chhabra, JK [1 ]
Aggarwal, KK
Singh, Y
机构：
[1] Deemed Univ, Natl Inst Technol, Dept Comp Engn, Kurukshetra 136119, Haryana, India
[2] GGS Indraprastha Univ, Sch Informat Technol, Delhi 110006, India
来源：
INFORMATION AND SOFTWARE TECHNOLOGY | 2003年 / 45卷 / 08期
关键词：
code spatial complexity; data spatial complexity; understandability; software metrics; psychological complexity;
D O I：
10.1016/S0950-5849(03)00033-8
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to maintain the software, the programmers need to understand the source code. The understandability of the source code depends upon the psychological complexity of the software, and it requires cognitive abilities to understand the source code. The individual needs to correlate the orientation and location of various entities with their processing, which requires spatial abilities. This paper presents two measures of spatial complexity, which are based on two important aspects of the program-code as well as data. The measures have been applied to 15 different software projects and results have been used to draw many conclusions. The validation of the results has been done with help of perfective maintenance data. Lower values of code as well as data spatial complexity denote better understandability of the source code. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：539 / 546
页数：8
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