Requirements engineering issues causing software development outsourcing failure

Iqbal, Javed; Ahmad, Rodina; Khan, Muzafar; Amin, Fazal; Alyahya, Sultan; Nasir, Mohd Hairul Nizam Md; Akhunzada, Adnan; Shoaib, Muhammad

doi:10.1371/journal.pone.0229785

Cited by 23 publications

(12 citation statements)

References 118 publications

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“…Removing these factors would destroy the outsourcing business model (Patel et al, 2019 ). BM2 business model “custom calculations” is the most related to customers who systematically use calculation results and software vendors (Iqbal et al, 2020 ). Consumer segment (customers who occasionally use calculation results) is less binding BM2 factor, so it can be excluded or replaced without destroying the business model.…”

Section: Discussionmentioning

confidence: 99%

Economic Efficiency of Outsourcing Business Models: A Comparative Assessment

Kulembayeva

Seitkaziyeva

Yelshibayev

2021

Glob J Flex Syst Manag

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This study aims to form a methodological approach to assess outsourcing business models and identify the most acceptable one for a modern enterprise. The research methodology is based on the author's approach, which includes cognitive map analysis and a simplicial complex. The study was tested on two Information Technology companies in Russia. Based on the determination of the profit elasticity on the manageable vertices of outsourcing business models, the most attractive in terms of efficiency criterion in the form of profit is the outsourcing business model of developing in-house non-IT services. The analysis of structural connectivity made it possible to rank the factors by the level of importance for the preservation of the business model. Modeling the effectiveness of implementing the formed outsourcing business models provided an opportunity to increase profits for the investigated IT companies by increasing the number of single-type projects. The conducted modeling of changes in relations with customers in the studied IT enterprises shows the inexpediency of changing customer relations in BM3. It is proved that certain factors can be replaced without losing the integrity of the business model. The scientific contribution of this study is the proposed methodological approach for assessing the effectiveness of an outsourcing business model. Based on the application of this methodology, the strategic objectives are linked to the business model in the process of achieving them (the achievement of strategic objectives under the influence of the selected outsourcing business model is shown).

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Section: Discussionmentioning

confidence: 99%

Economic Efficiency of Outsourcing Business Models: A Comparative Assessment

Kulembayeva

Seitkaziyeva

Yelshibayev

2021

Glob J Flex Syst Manag

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“…To address this issue, uncertainty-wise requirement prioritization was proposed in [17].The multiple perspective prioritization technique was applied in [18] to concentrate on the scalability aspect. Identification and requirement ranking using the Delphi technique was proposed in [19] to concentrate on the failure aspects involving RP.…”

Section: Literature Surveymentioning

confidence: 99%

Interdependency Aware Qubit and Brownboost Rank Requirement Learning for Large Scale Software Requirement Prioritization

Sarker¹,

Rahman²

2022

IJCDS

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Requirements Prioritization (RP) is very indispensable and laborious phase in the course of requirement management of software engineering. Numerous research works have been conducted in the prioritization of small size requirements. However, problems are said to occur while considering large set software project requirements. In order to address the issue, in this paper we present the novel method called the Interdependency-aware Qubit and BrownRoost Rank (IQ-BR) method to prioritize the huge number of requirements. Optimization is a model that identifies the optimal requirements from a set of probable functions with respect to their attributes or requirements. Quantum Optimization is the familiar optimization algorithms is used in the IQ-BR. The novelty of the work lies in the use of the Interdependency-aware Qubit Requirement Selection algorithm and BrownBoost Rank Requirement Prioritization Learning model. An Interdependency-aware Qubit Requirement Selection algorithm is used to address the requirements prioritization issues to handle volatile and interdependencies among requirements during RP. With the optimal requirement selection results, BrownBoost Rank Requirement Prioritization Learning is finally applied to rank the requirements based on the BrownBoost Rank function. The proposed IQ-BR and existing methods are discussed with different factors such as requirement prioritization accuracy, requirement prioritization time, true positive rate and false-positive rate with respect to different functional and non-functional requirements. The observed results show superior performance of our proposed IQ-BR method when compared to state-of-the-art methods.

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“…Outsourcing in software development is famed due to various benefits, for example, cost rescission, easily resource availability, and process enhancement etc [1]. In developed countries, mostly software developing organizations are motivated to shift their developing activities globally [2].…”

Section: Introductionmentioning

confidence: 99%