Software Quality Measurement Analysis on Academic Information Systems

Measurement, which can be done directly or indirectly, is the process of providing a quantitative indication of the scope, quantity, dimension, capacity, or characteristics of a process or product. Software may be measured directly in a number of ways, such as cost, effort, amount of code lines, fun...

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Bibliographic Details
Published inIngénierie des systèmes d'Information Vol. 29; no. 4; p. 1453
Main Authors Setiadi, Dedi, Tata Sumitra, Ahmad, Karim, Ritzkal
Format Journal Article
LanguageFrench
Published Edmonton International Information and Engineering Technology Association (IIETA) 01.08.2024
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Summary:Measurement, which can be done directly or indirectly, is the process of providing a quantitative indication of the scope, quantity, dimension, capacity, or characteristics of a process or product. Software may be measured directly in a number of ways, such as cost, effort, amount of code lines, functionality, speed of execution, memory size, documentation, number of inputs and outputs, and flaws in individual units. In contrast, features like functionality, efficiency, dependability, and maintainability are measured by indirect metrics like software quality. A metric is a quantitative measure of the degree of an attribute of an object, system, or process that is produced by the gathering of data for measurement. These metrics need to be gathered and converted into indicators in order to assess the quality of the program. Metrics, or sets of metrics, known as indicators, give management thorough information about a product and aid in process and product control. A system is made up of several interrelated parts that work together to accomplish a certain objective. These systems are broken down into more manageable subsystems that assist the main system. This research seeks to examine how software quality is measured on Marshal Suryadarma Aerospace University's Academic Information System. In addition to helping university administration regulate and enhance the information systems in use, this research is anticipated to offer a thorough grasp of the application of metrics and indicators in assessing and enhancing the caliber of academic software.
ISSN:1633-1311
2116-7125
DOI:10.18280/isi.290418