Client’s Readiness Assessment Success Factors for Outsourcing Software Projects

Hamid, Azlina Abd; Mansor, Zulkefli

doi:10.18517/ijaseit.6.6.1373

Cited by 18 publications

(14 citation statements)

References 14 publications

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“…The artefact produced in this work is the engineering framework of services computing systems. The evaluation provides important feedback to the framework development [28]. A practical evaluation methodology is used to evaluate the proposed framework based on the experiences of the systems engineers after using the framework.…”

Section: Methodsmentioning

confidence: 99%

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Evaluating Services Computing Systems Engineering Framework using An Acceptance Model

Kurniawan¹,

Suhardi²,

Bandung³

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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The gap between business services and IT services becomes a major concern in services computing. As an approach for service-based IT solution, services computing systems are promised to be able to bridge the gap between these services. The implementation will require an engineering framework as a guide to building the systems. The framework needs to be evaluated to provide important feedback to the framework development. This paper outlines the evaluation of SCSE framework through an acceptance model. The study develops an acceptance model based on the experiences of a group of engineers after using the framework to build smart campus services systems. A survey involving 54 systems engineers with various engineering backgrounds was conducted to assess the experiences of the engineers in using the framework. The results of the acceptance model show that both perceived ease of use, represented by the level of agreement (υ1) and perceived usefulness, represented by the level of importance (υ2) deliver good results almost for the entire stages of the proposed framework. In addition, the user experiences of using the proposed framework are in the acceptable levels. The contribution of this paper is an enrichment of the engineering methodologies for the service-oriented system from the perspective of services computing.

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Section: Methodsmentioning

confidence: 99%

“…Furthermore, the implementation of the systems must be able to provide service values to the organization [28]. The second perspective takes the view of systems engineering.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Services Computing Systems Engineering Framework using An Acceptance Model

Kurniawan¹,

Suhardi²,

Bandung³

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

View full text Add to dashboard Cite

show abstract

“…Cost is one of the key factors under project constraints [138]. When prioritizing certain requirements, the implementation cost should be considered [105], [139].…”

Section: ) Costmentioning

confidence: 99%

“…Therefore, many companies have started to shift to so-called Agile methods to develop such systems [3], and it has been found that the extent of the organizational team's skills [1], [4], [5], culture of the organization [2], [4], nature of project [5], and project constraints [5] must be given in-depth consideration [6] when selecting an Agile method. However, selecting the most appropriate Agile method for a project based on organizational capabilities is a difficult task [7], [8] because there are many Agile methods to choose from, such as Extreme Programming (XP) [9], [10], SCRUM [11], TestDriven Development (TDD) [12], Feature-Driven Development (FDD) [13], Lean Development (LD) [14], Adaptive Software Development (ASD) [15], Agile Modelling (AM) [16], Crystal Family Group (Clear, Red, Orange, Yellow) [17], Internet Speed Development (ISD) [18], [19], Disciplined Agile Delivery (DAD) [6], Agile Software Process Development [20], DevOps [21], Kanban [22] and the Dynamic Systems Development Method (DSDM) [23].…”

Section: Introductionmentioning

confidence: 99%

Key Factors for Selecting an Agile Method: A Systematic Literature Review

Alqudah¹,

Razali²

2017

International Journal on Advanced Science, Engineering and Information Technology

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Abstract-Agile methods have become popular in recent years because the success rate of project development using Agile methods is better than structured design methods. Nevertheless, less than 50 percent of projects implemented using Agile methods are considered successful, and selecting the wrong Agile method is one of the reasons for project failure. Selecting the most appropriate Agile method is a challenging task because there are so many to choose from. In addition, potential adopters believe that migrating to an Agile method involves taking a drastic risk. Therefore, to assist project managers and other decision makers, this study aims to identify the key factors that should be considered when selecting an appropriate Agile method. A systematic literature review was performed to elicit these factors in an unbiased manner, and then content analysis was used to analyze the resultant data. It was found that the nature of the project, development team skills, project constraints, customer involvement and organizational culture are the key factors that should guide decision makers in the selection of an appropriate Agile method based on the value these factors have for different organizations and/or different projects.

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“…The merging of diverse practices from different Agile methods takes into account diverse factors [25]. Further, management of the project is a concern to all members of the team in assuring successful software projects [26], and this applies to any organization. Relevantly, methods such as Kanban and Scrum prove their suitability in the successful development of projects and their management as well [27].…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study of Scrumban Formation based on the Selection of Scrum and Kanban Practices

Alqudah¹,

Razali²

2018

Int. J. Adv. Sci. Eng. Inf. Technol.

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Scrumban is a combination of practices from Kanban and Scrum practices to manage the development of software based on different project situations. Scrumban practices formation can differ based on different projects and team members. However, since each method has its own pros and cons, inappropriate formation of Scrumban practices may lead to increased waste and time of development, and decreased quality, which in turn, affect the Agile organizations and cause inefficient and ineffective development. Practitioners of Kanban and Scrum are convinced that a combination of both methods is better than the use of one and thus, practitioners should be guided in their decision making. This study aims to show how Scrumban method is formed based on a combination of Kanban and Scrum methods. Scrumban formation and the identification of the factors, which assist in the combination of Kanban and Scrum were conducted through a review of the previous work and semi-structured interviews with 7 Agile experts, after which, content analysis was conducted to analyse the gathered data. Different factors-the method prescription, roles and responsibilities, adoption time, team size, batch size, requirements prioritization, feature size, lead time, technical practices, cost and quality, assist Agile team members in the formation of Scrumban by combining appropriate Kanban and Scrum practices. In addition, Scrumban were found to be more appropriate than Scrum or Kanban in saving time, improving quality and minimizing waste.

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Client’s Readiness Assessment Success Factors for Outsourcing Software Projects

Cited by 18 publications

References 14 publications

Evaluating Services Computing Systems Engineering Framework using An Acceptance Model

Evaluating Services Computing Systems Engineering Framework using An Acceptance Model

Key Factors for Selecting an Agile Method: A Systematic Literature Review

An Empirical Study of Scrumban Formation based on the Selection of Scrum and Kanban Practices

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