2021, Vol.17, 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

In disputes involving contracts for work, most issues boil down a single, most crucial, underlying question: whether the agreed work was completed. The same applies to software development services, which are usually usually provided under contracts for work. In disputes arising from software development contracts, appraisal is commonly used to determine the completeness of the software in question. However, it is often difficult to ensure the objectivity of the appraisal. This study examines past cases involving the determination of software completeness to identify the method used in each case. Then, based on the findings, this study identifies issues requiring improvements to ensure objective determination of completeness.

The importance of software is increasing due to the development of information and communication, and software copyright disputes are also increasing. In this paper, the source of the submitted programs and the files necessary for the execution of the program were taken as the scope of analysis. The large-capacity file transfer solution program to be analyzed provides additional functions such as confidentiality, integrity, user authentication, and non-repudiation functions through digital signature and encryption of data.In this paper, we analyze the program A, program B, and the program C. In order to calculate the program similarity rate, the following contents are analyzed. Analyze the similarity of the package structure, package name, source file name in each package, variable name in source file, function name, function implementation source code, and product environment variable information. It also calculates the overall similarity rate of the program. In order to check the degree of agreement between the package structure and the package name, the similarity was determined by comparing the folder structure. It also analyzes the extent to which the package structure and package name match and the extent to which the source file (class) name within each package matches.

There is a problem that unknown paintings are sophisticated in the level of forgery, making it difficult for even experts to determine whether they are genuine or counterfeit. These problems can be suspected of forgery even if the genuine product is submitted, which can lead to a decline in the value of the work and the artist. To address these issues, in this paper, we propose a system to classify chromaticity data among extracted data through objective analysis into quadrants, extracting comparisons and intersections, and estimating authors of unknown paintings using XRF and hyperspectral spectrum data from corresponding points.