2015, Vol.11, No.1

Journal of Software Assessment and Valuation 2023 KCI Impact Factor : 0.35

pISSN : 2092-8114 / eISSN : 2733-4384
https://journal.kci.go.kr/ksavs

Software configuration management is identifying software items in the system that can be produced during the software life cycle. And it defines, creates, modify, distributes, reports the correction request for software items, manages in a single process. Effective software configuration management is to ensure consistency, and accuracy. In this study, we present the guideline for the entire configuration management process so that it can be managed consistently the configuration of software development artifacts, work procedures, artifacts. This study is based on the standard process(TTAS.KO-09.0038) of the public part SW business and the standard of life cycle process of software(ISO / IEC 12207 2008 software and system engineering life cycle). This guideline is configured to maintain the activities of ‘detailed instructions on software project management supervision’ and maintain mutual compatibility of them.

This study analysed a case of seoul central district court 2015. 2. 12. 2012 Gahap 541175 presenting persentage of similarity for determing the substantial similarity between literary works. In particular, this study reviewed the criterion and calculation method for the percentage of similarity and suggested the reasonable estimation standards.

Code obfuscation is a technique to transform a program into an equivalent one that is harder to reverse engineering. Using code obfuscation tools (or, obfuscators), software developers obfuscate their codes to conceal intellectual properties of the codes, in order to deter reverse engineering or prevent tampering. On the other hand, malicious users may also make use of obfuscation techniques badly to hide the program codes that they have thieved or plagiarized. It would be difficult to detect software theft if pirated software was obfuscated. In this paper, we compare three obfuscators for Android apps, and investigate the effects of the tools on measuring software similarity. To analyze the effects of them, we have measured software similarity between an original source program and the decompiled version from obfuscated program. This study is helpful to detect software theft using similarity measures even though pirated software is obfuscated.