Evidence map›Paper›PMID 40989435›Full record

ArticlePeerJ. Computer science2025

A measurement framework to assess software maturity models.

Reem Alshareef, Mohammad Alshayeb, Mahmood Niazi, Sajjad Mahmood

Abstract read
In one paragraph

Article in PeerJ. Computer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Reem AlshareefInformation & Computer Science Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.ORCID 0000-0003-3989-5131
Mohammad AlshayebInformation & Computer Science Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.ORCID 0000-0001-7950-0099
Mahmood NiaziInformation & Computer Science Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
Sajjad MahmoodInformation & Computer Science Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.ORCID 0000-0001-5786-5118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Software maturity models can be utilized by organizations to evaluate and enhance their development processes. Established and recognized models such as the Capability Maturity Model Integrated (CMMI) and ISO/IEC 15504 (Software Process Improvement and Capability Determination (SPICE)) have proven their value. However, many new software maturity models exist, and their quality and potential value remain questionable until they are properly assessed before adoption. Without such an assessment, organizations can implement poor or ineffective models, resulting in wasted resources and failed improvement initiatives. Our research aims to address this challenge by developing a measurement framework based on ISO/IEC 15504-3 standards to assess the quality of developed software maturity models. We derived our quality assessment criteria through literature analysis, analyzing four main categories: basic model information, structural design, assessment methods, and implementation support. After developing this framework, we validated it with expert reviews to assess its design and usability and through a series of case studies. Feedback from academics and industry practitioners confirmed the framework's utility, especially recognizing its clear structure and comprehensiveness of evaluation criteria. Case studies also revealed the framework's effectiveness in identifying strengths and areas of improvement, finding that evaluated models had quality scores ranging from 83.3% to 93.2%. Our study enhances software maturity models' practical utility and adoption across different software contexts, providing professionals and academics with a structured way to evaluate and enhance maturity models.

Indexed as

A measurement frameworkSoftware maturity models

Identifiers

PMID40989435
PMCPMC12453703

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.