A Framework for Integrating Risk Management into the Software Development Process

Hijazi, Haneen; Alqrainy, Shihadeh; Muaidi, Hasan; Khdour, Thair

doi:10.19026/rjaset.8.1054

Cited by 11 publications

(24 citation statements)

References 7 publications

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“…SDP is not yet certain [24]; SDLC phases are vulnerable to risk. These development stages are susceptible to various risk factors, which can hinder the completion of the project.…”

Section: Software Risk Management (Srm)mentioning

confidence: 99%

“…These factors hinder the project from accomplishing its objectives, leading to project failure. Identifying software risk factors is a key activity, and the success of RM depends on identifying the main risks that affect the project during project development [24]. Although all the ideas or issues that arise could or could not be relevant, it is significant to document all issues (risks), possible effects, and accepted solutions [13].…”

Section: Software Risks Assessment (Sra)mentioning

confidence: 99%

“…Besides, there are other sources of software project risk, such as plan, quality, time, and cost. Common software risk factors related to software project development [24].…”

Section: Risk Issue In Sdlcmentioning

confidence: 99%

“… Lack of popular framework  Lack of capability to familiarize with technological progress  Developer issues  poor project management  Too much confidence in the ability of technology to solve problems The software development phase is the risk phase [24]; from the beginning to the end of development, these phases are all vulnerable to risk. Risks from the software development stage hinder the achievement of the project.…”

Section: Risk Issue In Sdlcmentioning

confidence: 99%

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Enhanced Software Risk Assessment in Software Development Lifecycle

Yadi¹

2022

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Risk is a destructive and serious problem that may happen in the future of the software project. The definition of risk is an indicated negative thing. However, in software project development risk has two meanings. One is the opportunity for the developer and customer if it gives motivational consequence on the project objectives and the other one is a negative risk that affects the project objectives and may lead to the failure of the project. Improper assessment of negative risk is the main reason for the failure of SP.

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“…SDP is not yet certain [24]; SDLC phases are vulnerable to risk. These development stages are susceptible to various risk factors, which can hinder the completion of the project.…”

Section: Software Risk Management (Srm)mentioning

confidence: 99%

Section: Software Risks Assessment (Sra)mentioning

confidence: 99%

“…Besides, there are other sources of software project risk, such as plan, quality, time, and cost. Common software risk factors related to software project development [24].…”

Section: Risk Issue In Sdlcmentioning

confidence: 99%

Section: Risk Issue In Sdlcmentioning

confidence: 99%

See 2 more Smart Citations

Enhanced Software Risk Assessment in Software Development Lifecycle

Yadi¹

2022

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“…Once the initial set of risk factors has been identified, they have to be managed. In this proactive framework, e-Learning practitioners proceed into the eContent development and delivery process phases, activities, risk mitigation strategies with an eye towards the identified risks and preventing them from being materialized [48].…”

Section: Proposed Frameworkmentioning

confidence: 99%

Modelling and Implementation of Proactive Risk Management in e-Learning Projects: A Step Towards Enhancing Quality of e-Learning

Hijazi¹,

Hammad²,

Al-Khasawneh³

2019

IJACSA

Self Cite

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The introduction of e-Learning to higher education institutions has been evolving drastically. However, the quality of e-Learning becomes a central issue in order to provide all stakeholders with the necessary confidence to compete with traditional learning methods. Risk management plays a vital role in the successful implementation of e-Learning projects and in attaining high-quality e-Learning courses. Little research has been conducted about implementing risk management in e-Learning projects. This work proposes a quality assurance framework for e-Learning projects. This framework comprises a proactive risk management model that integrates risk management into the e-Learning process. This integration helps in obtaining high-quality e-Learning courses by preventing negative e-Learning risks from being materialized. The model is verified to evaluate its effectiveness through a Renewable Energy Course that was converted from a traditional face-to-face into e-Learning course. Quantitative and qualitative measures are performed to analyze the data collected through the implementation of the project. The results show that the proposed model is managed to mitigate the majority of probable risk factors leading to high-quality e-Courses development and delivery.236 | P a g e www.ijacsa.thesai.org Both success factors and possible failures together should be taken into account to increase the probability of project success. These possible failures are called risks. An e-Learning project inherits all types of risk factors encountered in Information System projects beside many other risks that are specific to e-Learning [11]. These factors might negatively affect the quality of the e-Learning course being developed and/or the learning outcomes, project schedule and/or resources. Many risk factors are associated with e-Learning projects [12]. These factors can be personal or dispositional, learning style, instructional, situational, organizational, content suitability, and technological [13]. In order to minimize their negative impact, these factors must be managed carefully [14]. Successful management of e-Learning risk factors would improve the quality of the e-Learning process and, consequently, the competitive advantage of the institution. Hence, Risk management should be the core competence in e-Learning projects.

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Smart City Software: A Review of Development Methodologies and Modelling Languages

Simonofski,

Sokolvak,

Serral

2022

Lecture Notes in Business Information Processing

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Smart cities aim to improve citizens' quality of life through the use of technology. Due to their size, smart city projects often rely on dedicated software that is built using development methodologies and modelling languages. This paper aims at discovering what software development methodologies and modelling languages are being used in a Smart City context as well as revealing the drivers behind these choices. In order to do so, a literature review and six semistructured interviews with practitioners in Belgian smart cities were conducted. The results demonstrate that there are various software development methodologies (Waterfall Model, Agile, Scrum, AUP, Hybrid Agile Methodology) and modelling languages (UML, SysML, BPMN, DSML, informal modelling) applied in a smart city context. This paper contributes to the understanding of the current state of software development methodologies and modelling languages within the smart city context. Moreover, by taking a closer focus on Belgian Smart Cities, it sheds light on the concrete state of practice and highlights the drivers and challenges associated with each approach. These findings can be used to support decision-making of future smart city projects.

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A Framework for Integrating Risk Management into the Software Development Process

Cited by 11 publications

References 7 publications

Enhanced Software Risk Assessment in Software Development Lifecycle

Enhanced Software Risk Assessment in Software Development Lifecycle

Modelling and Implementation of Proactive Risk Management in e-Learning Projects: A Step Towards Enhancing Quality of e-Learning

Smart City Software: A Review of Development Methodologies and Modelling Languages

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