2013, Vol.9, No.2

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

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

This paper analyzes those cases which made use of appraisal under Article 119 of the Copyright Act but did not cite the results of the appraisal in the judgment. Through these cases the paper will examine problems with the appraisal system and present means for improvement. There is a call for such measures due to the trend in which the scope of appraisal is beginning to exceed judicial capacity; however, the very real difficulties should not be ignored. Accordingly, the paper will for now present procedural and systematic improvements including stronger integrated appraisals and prior appraisals, that is, measures to give substance to appraisal timelines.

The accurate estimation of software development cost is important to a successful project in software engineering. Until recent days, the models using regression analysis based on statistical algorithm and data mining method have been proposed. However, this paper estimates the software development cost using support vector regression, a sort of new data mining technique. Also we presents the best set of optimized parameters applying immune algorithm, changing the number of generations, memory cells, and allele. The proposed IA-SVR algorithm outperforms some existed researches published in the literatures.

In this paper, we propose a scheme to filter out copyrighted Android applications which are illegally distributed through online internet sites. A previous simple filtering scheme based on the hash value of a classes.dex file has a problem that the previous scheme can be bypassed by a straightforward change like modifying the hash value. To address the problem, we introduce a new module to verify the integrity of the hash value and certificate information for each Android application. The integrity verification module uses two kinds of information inside an APK file. The first information is a hash value of manifest.mf where we can determine whether the hash value is modified or not by comparing it with one initially stored a database. The second information is a certificate of cert.rsa which can be used to determine if the target file is repackaged or not. Through some experiments, we show that the proposed scheme can overcome the limitation of the previous one and evaluate performance of our scheme.