Related Experiment Video
Updated: Jan 17, 2026
11:29
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
Published on: June 20, 2020
9.7K
A measurement framework to assess software maturity models
Reem Alshareef1,2, Mohammad Alshayeb1,3, Mahmood Niazi1,3
1Information & Computer Science Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
Peerj. Computer Science
|September 24, 2025
Summary
This study introduces a new framework to assess software maturity models, ensuring organizations adopt effective tools. The framework, based on ISO/IEC 15504-3, helps evaluate model quality and enhances adoption in software development.
Area of Science:
- Software Engineering
- Information Systems
Background:
- Software maturity models (SMMs) are crucial for evaluating and improving development processes.
- Established models like CMMI and ISO/IEC 15504 (SPICE) are valuable, but new SMMs require rigorous assessment.
- Adopting unverified SMMs can lead to wasted resources and failed initiatives.
Purpose of the Study:
- To develop a measurement framework for assessing the quality of newly developed software maturity models.
- To address the challenge of questionable quality and value of emerging SMMs before adoption.
Main Methods:
- Developed a measurement framework based on ISO/IEC 15504-3 standards.
- Derived quality assessment criteria from literature analysis across four categories: basic information, structural design, assessment methods, and implementation support.
- Validated the framework through expert reviews and case studies.
Main Results:
- Expert feedback confirmed the framework's utility, clear structure, and comprehensive criteria.
- Case studies demonstrated the framework's effectiveness in identifying SMM strengths and weaknesses.
- Evaluated models received quality scores between 83.3% and 93.2%.
Conclusions:
- The developed framework enhances the practical utility and adoption of software maturity models.
- It provides a structured approach for professionals and academics to evaluate and improve SMMs.
- This research contributes to more effective software development process improvement initiatives.
More Related Videos
10:58Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
Published on: August 28, 2021
5.0K
09:00Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
Published on: August 16, 2024
1.2K
Related Concept Videos
01:29Self-Evaluation Maintenance Model
281
The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
281
01:12Modeling and Similitude
617
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
617
01:03Data Validation
6.3K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing assessment guides are generally based on holistic models rather than medical...
6.3K
01:15Data Validation
576
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Key parameters for method validation include:
576
01:30Typical Model Studies
619
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
619
01:22Self-Report Tests of Personality
776
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
776