An Explanation Model for Quality Improvement Effect of Peer Reviews

Komuro, Mutsumi; Komoda, Norihisa

doi:10.1109/cimca.2008.187

Cited by 5 publications

(6 citation statements)

References 8 publications

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“…These components were verified based on their comprehensiveness, understandability, accurateness, and organization. These criteria were adapted from previous studies [24] [26].…”

Section: A Results For Verificationmentioning

confidence: 99%

“…This study found that the verification stage was intended to verify i) the maturity level, ii) evaluation dimension, and iii) evaluation matrix. To accomplish these aims, the expert review should be used because it has been accepted as a significant way to detect and remove defects [24]. Basically, there are three activities involved in verifying the SOA maturity model which are i) identifying the expert, ii) determining the verification criteria, and iii) analyzing the feedback.…”

Section: A Verification Stagementioning

confidence: 99%

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An Evaluation Method for Service-Oriented Architecture Maturity Model

Hamzah¹,

Shaubari²

2022

IJACSA

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SOA maturity model was used to clarify and provide a common definition of SOA inside an organization. The model provides an abstract overview of SOA adoption by characterizing evolutionary levels. However, this study found that there is a lacking on how the previous models were evaluated to show that the model is conforming to the specification and can be implemented in the real-world environment. Therefore, this study aims to provide the evaluation method for the SOA maturity model through the verification and validation process. The Integrated Adoption Maturity for Service-Oriented Architecture (IAMSOA) model was chosen and the verification process is being performed through expert review where the study identifies the experts, determines the verification criteria, and collects and analyzes the feedback; while the validation was performed through case study by identifying the organization, determining the validation criteria, brainstorming, and collecting and analyzing the feedback. The verification results show that the evaluated model is comprehensive, understandable, accurate, and well-organized. Moreover, the validation results reveal that it is feasible and practical to be executed in the real environment. Conclusively, this study has successfully evaluated one of the SOA maturity models and shows the verification and validation process in detail which can be re-enacted in different projects and settings.

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“…These components were verified based on their comprehensiveness, understandability, accurateness, and organization. These criteria were adapted from previous studies [24] [26].…”

Section: A Results For Verificationmentioning

confidence: 99%

Section: A Verification Stagementioning

confidence: 99%

An Evaluation Method for Service-Oriented Architecture Maturity Model

Hamzah¹,

Shaubari²

2022

IJACSA

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“…Concurrently, heuristic evaluation is considered and acknowledged as a massive route in identifying absconds (Beecham et al, 2005;Komuro & Komoda, 2008), just as assumed significant jobs in both critical thinking and dynamic. The experts contacted include usability experts, software developers, and mobile shopping application designers.…”

Section: Verify the Proposed Heuristic Evaluation Checklist From The ...mentioning

confidence: 99%

Inclusivity in Mobile Shopping Apps: An Emphasis on Learnability Checklists in Conducting a Heuristic Evaluation

Uzoma,

Soosay Nathan,

Hashim

et al. 2023

jdsd

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Studies on heuristic evaluation of mobile applications have been an emerging domain. However, existing checklists are too general and unable to clearly define the measurements for evaluating mobile shopping applications. This paper proposes suitable heuristics under the learnability measure for a checklist in conducting heuristic evaluation in supporting the inclusivity of a mobile shopping application. This study was conducted in two phases: generate the learnability measures based on heuristics and sub-heuristics from content analysis and verify the proposed heuristic evaluation checklist from the learnability measures through expert reviews. As a result, a verified Learnability checklist consisting of three heuristics was selected: recognition rather than recall, user control and freedom and match between the system and the real world. For each heuristic, suitable sub-heuristics and evaluation questions were identified. Through the learnability checklist, usability experts and analysts can consistently perform their evaluation during heuristics evaluation on other mobile shopping apps. This is to ensure that the apps have all relevant features that enhance the learning ability of their users, using the apps confidently and proficiently, providing their contentment in every usage scenario.

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“…The expert review was used because of its simplicity, low cost, and quick completion. Moreover, it is accepted as a significant way to detect and remove defects (Komuro & Komoda, 2008). The following three steps were executed in the expert review: i.…”

Section: Expert Reviewmentioning

confidence: 99%

Untitled

2022

IJAHP

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Software certification involves assessing and certifying the quality of the software process based on multiple evaluation criteria where each criterion has different importance values on the quality of the software. However, the different importance values of the evaluation criteria have not been addressed in the existing software process certification models. A systematic technique is needed to ensure that the certification results are consistent, accurate and not made arbitrarily. To address this issue, the

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An Explanation Model for Quality Improvement Effect of Peer Reviews

Cited by 5 publications

References 8 publications

An Evaluation Method for Service-Oriented Architecture Maturity Model

An Evaluation Method for Service-Oriented Architecture Maturity Model

Inclusivity in Mobile Shopping Apps: An Emphasis on Learnability Checklists in Conducting a Heuristic Evaluation

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