A robust framework for cloud‐based software development outsourcing factors using analytical hierarchy process

Akbar, Muhammad Azeem; Khan, Arif Ali; Mahmood, Sajjad; Alsanad, Ahmed; Gumaei, Abdu

doi:10.1002/smr.2275

Cited by 14 publications

(8 citation statements)

References 53 publications

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“…They are quickly updated, tested, and deployed. This provides organizations with agility experience and quick time to market [37]. Testing the performance of cloud applications is discussed in the literature.…”

Section: Performance Testing For Cloud Applicationsmentioning

confidence: 99%

Automation of Performance Testing: A Review

2022

IJICIS

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Quality assurance of software applications becomes crucial for achieving a competitive advantage in the market. Automating the testing process reduces the required cost and human effort. However, automating the entire testing process is still challenging for both academia and industry. It is essential to verify the robustness of the application under test (AUT) by conducting performance testing. Performance testing is a non-functional form of software testing which examines the performance features of the AUT when exposed to various workloads. The performance behavior can be measured by throughput, response time, and resource utilization of the AUT under a certain workload. Besides, performance testing finds the performance breaking points and bottlenecks during the operation of the AUT. Due to the necessity of conducting performance testing before releasing applications to the market, this paper surveys the previous related work to performance testing since 2009. Recent studies related to performance testing for testing both mobile and web-based applications are discussed. The strengths and weaknesses of these studies are discussed. Besides, a comparison between the previous studies related to performance testing is held from different perspectives.

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Section: Performance Testing For Cloud Applicationsmentioning

confidence: 99%

Automation of Performance Testing: A Review

2022

IJICIS

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“…Other researchers also explore the cloud-based global software development research area to develop frameworks and guidelines for practitioners' community. [22][23][24][25][26] One key issue faced by global software development is that organizations try to incorporate cloud sourcing in their projects prior to understanding their management readiness. To date, no study has been conducted that presents evidence from both formal literature and gray literature to identify the success factors of managing CGSD projects.…”

Section: Related Work and Study Motivationmentioning

confidence: 99%

Successful management of cloud‐based global software development projects: A multivocal study

Akbar

Khan

Mehmood

et al. 2022

J Software Evolu Process

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Software industry is continuously exploring better ways to develop applications. A new phenomenon to achieve this is cloud‐based global software development (CGSD), which refers to the adoption of cloud computing services by organizations to support global software development projects. The CGSD approach affects the strategic and operational aspects of the way projects are managed. The objective of the study is to identify the success factors which contribute to management of CGSD projects. We carried out a multivocal literature review (MLR) to identify the success factors from the state‐of‐the‐art and the state‐of‐the‐practice in project management of CGSD projects. We identified 32 success factors that contribute to the management of CGSD projects. The findings of MLR indicate that time to market, continuous development, financial restructuring, and scalability are the most critical success factors for CGSD. Moreover, the findings of the study show that there is a positive correlation between the success factors reported in both formal literature and industry based gray literature. The findings of this study can assist the practitioners to develop the strategies needed for effective project management of CGSD projects.

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“…Step 5:Checking consistency ratio: The developed pairwise comparison matrixes "should be consistent in fuzzy AHP analysis [57,58]. Hence, it is mandatory to measure the consistency ratio of the pairwise comparison matrixes.…”

Section: Figure 6 Triangular Fuzzy Numbermentioning

confidence: 99%

Prioritization Based Taxonomy of DevOps Challenges Using Fuzzy AHP Analysis

et al. 2020

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The DevOps (development and operations) is a collaborative software development environment which offers the continues development and deployment of quality software project within short time. The DevOps practices are not yet mature enough, and the software organizations hesitate to adopt it. This study aims: (1) to explore the DevOps challenges by conducting systematic literature review (SLR) and to get the insight of industry experts via questionnaire survey study; (2) to prioritize the investigated challenges using fuzzy analytical hierarchy process (FAHP). The study findings provide the set of critical challenges faced by the software organizations while adopting DevOps and a prioritization-based taxonomy of the DevOps challenges. The application of FAHP is novel in this research area as it assists in addressing the vagueness of practitioners concerning the influencing factors of DevOps. We believe that the finding of this study will serve as a body of knowledge for real world practitioners and researchers to revise and develop the new strategies for the successful implementation of DevOps practices in the software industry.

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A robust framework for cloud‐based software development outsourcing factors using analytical hierarchy process

Cited by 14 publications

References 53 publications

Automation of Performance Testing: A Review

Automation of Performance Testing: A Review

Successful management of cloud‐based global software development projects: A multivocal study

Prioritization Based Taxonomy of DevOps Challenges Using Fuzzy AHP Analysis

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