Incorporating artificial intelligence technique into DSDM

Jabeen, Javeria; Motla, Yasir Hafeez; Abbasi, Mateen Ahmed; Batool, Dur-e-Benish; Butt, Rahil; Nazir, Sana; Anwer, Syeda Ayesha

doi:10.1109/apwccse.2014.7053838

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…Villamizar et al [22] identified approaches for handling security in ASD that introduce artifacts such as abuser story, present approach for integrating security in Scrum, methods such as NORMAP [S48], and NERV [S42], and NORMATIC tool [S48, S50], and guidelines for eliciting and documenting QRs [S132, 156], that are included in our findings. They also reported a way for mapping security activities into Dynamic System Development Method (DSDM) [67] that was not found in our study. We also found strategies such as Secure Feature Driven Development (SFDD) [S54], and CIViT [S96] models, method to integrate security in feature driven development [S58], and tagging approach to elicit security in ASD [S121], and practices of security oriented TDD [S95] that were not reported in their study.…”

Section: Related Workmentioning

confidence: 64%

Management of quality requirements in agile and rapid software development: A systematic mapping study

Behutiye

Karhapää

López³

et al. 2020

Information and Software Technology

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Context: Quality requirements (QRs) describe the desired quality of software, and they play an important role in the success of software projects. In agile software development (ASD), QRs are often ill-defined and not well addressed due to the focus on quickly delivering functionality. Rapid software development (RSD) approaches (e.g., continuous delivery and continuous deployment), which shorten delivery times, are more prone to neglect QRs. Despite the significance of QRs in both ASD and RSD, there is limited synthesized knowledge on their management in those approaches.Objective: This study aims to synthesize state-of-the-art knowledge about QR management in ASD and RSD, focusing on three aspects: bibliometric, strategies, and challenges. Research method: Using a systematic mapping study with a snowballing search strategy, we identified and structured the literature on QR management in ASD and RSD. Results: We found 156 primary studies: 106 are empirical studies, 16 are experience reports, and 34 are theoretical studies. Security and performance were the most commonly reported QR types. We identified various QR management strategies: 74 practices, 43 methods, 13 models, 12 frameworks, 11 advices, 10 tools, and 7 guidelines. Additionally, we identified 18 categories and 4 non-recurring challenges of managing QRs. The limited ability of ASD to handle QRs, time constraints due to short iteration cycles, limitations regarding the testing of QRs and neglect of QRs were the top categories of challenges. Conclusion: Management of QRs is significant in ASD and is becoming important in RSD. This study identified research gaps, such as the need for more tools and guidelines, lightweight QR management strategies that fit short iteration cycles, investigations of the link between QRs challenges and technical debt, and extension of empirical validation of existing strategies to a wider context. It also synthesizes QR management strategies and challenges, which may be useful for practitioners.

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Section: Related Workmentioning

confidence: 64%

Management of quality requirements in agile and rapid software development: A systematic mapping study

Behutiye

Karhapää

López³

et al. 2020

Information and Software Technology

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“…DSDM has been criticized when using alone since it lacks to security practices in its stages. CBR-DSDM model had been built to cover the security issues for a whole development life cycle of DSDM stages [63].…”

Section: ) Intelligent Transportation Systems (Its)mentioning

confidence: 99%

Agile Approaches for Cybersecurity Systems, IoT and Intelligent Transportation

et al. 2022

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To adapt to the rapidly increasing vulnerabilities in software products and cyber threats that exploit them, security professionals are actively working with software developers to produce more secure systems. In software development, agile methods are increasingly adopted in critical software projects where security risks are prominent challenges. This adoption stems from the fact that agile methods are highly iterative and support delivering services and products in smaller batches which allows security professionals to seamlessly integrate software development security activities with agile methodologies. In addition, the iterative nature of agile software development encourages frequent inspections, tests, and patching of software systems to mitigate cybersecurity risks and vulnerabilities. Considering the massive growth of the Internet of Things (IoT) and Intelligent Transportation Systems (ITS) products, the challenge of software development while addressing the security and safety concerns of these devices will continue to increase. This paper presents a comprehensive and detailed review of agile software development in the context of IoT, ITS, and their cybersecurity and risk challenges. Furthermore, we provide a systematic comparison of the reviewed literature based on a set of defined criteria. Finally, we provide a broader outlook and an outline for designing future security-enhanced agile software development solutions for IoT and ITS systems.

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