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, 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.

Authors

Institutions

Publication Details

Journal
Ingénierie des systèmes d information
Published
2024-08-21
DOI
https://doi.org/10.18280/isi.290418
Primary Topic
Advanced Decision-Making Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Software Quality Measurement Analysis on Academic Information Systems

Dedi Setiadi, Tata Sumitra, Ritzkal Ritzkal, Ahmad Karim
Ingénierie des systèmes d information
Advanced Decision-Making Techniques
article

Software Quality Measurement Analysis on Academic Information Systems

Dedi Setiadi, Tata Sumitra, Ritzkal Ritzkal, Ahmad Karim
article en

Abstract

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.

Ingénierie des systèmes d informationVol. 29(4)
Universitas Suryadarma (ID), Universitas Pembinaan Masyarakat Indonesia Medan (ID)
Openalex Percentile: Top 79%
Advanced Decision-Making Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Software Quality Measurement Analysis on Academic Information Systems — Dedi Setiadi, Tata Sumitra, et al. · Ingénierie des systèmes d information (2024) | TGRS Research Map | TGRS