Dynamic software updating: a systematic mapping study

Ahmed, Babiker Hussien; Lee, Sai Peck; Su, Moon Ting; Zakari, Abubakar

doi:10.1049/iet-sen.2019.0201

Cited by 9 publications

(2 citation statements)

References 134 publications

(874 reference statements)

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“…Several software patch and update related reviews have been conducted in recent years [16][17][18][19][20][21][22]. Ahmed et al [17] have performed a comprehensive systematic mapping study related to runtime software updating solutions. We encountered somewhat unstructured approach classifications while analyzing a large number of papers.…”

Section: Existing Reviewsmentioning

confidence: 99%

Runtime Software Patching: Taxonomy, Survey and Future Directions

Islam¹,

Prokhorenko²,

Babar³

2022

Preprint

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Runtime software patching aims to minimize or eliminate service downtime, user interruptions and potential data losses while deploying a patch. Due to modern software systems' high variance and heterogeneity, no universal solutions are available or proposed to deploy and execute patches at runtime. Existing runtime software patching solutions focus on specific cases, scenarios, programming languages and operating systems. This paper aims to identify, investigate and synthesize state-of-the-art runtime software patching approaches and gives an overview of currently unsolved challenges. It further provides insights on multiple aspects of runtime patching approaches such as patch scales, general strategies and responsibilities. This study identifies seven levels of granularity, two key strategies providing a conceptual model of three responsible entities and four capabilities of runtime patching solutions. Through the analysis of the existing literature, this research also reveals open issues hindering more comprehensive adoption of runtime patching in practice. Finally, it proposes several crucial future directions that require further attention from both researchers and practitioners.

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Section: Existing Reviewsmentioning

confidence: 99%

Runtime Software Patching: Taxonomy, Survey and Future Directions

Islam¹,

Prokhorenko²,

Babar³

2022

Preprint

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“…Table 7 shows the reference number of each study, year, research type, contribution type, whether the study used the HBM or not, and whether it used PbD. The contribution type facet is referred to as the type of intervention being studied [94]. As presented in Table 7, 9 studies are related to this study; the studies were conducted in the years from 2009 to 2019.…”

Section: Comparison With Related Workmentioning

confidence: 99%

The Effects of Applying Privacy by Design to Preserve Privacy and Personal Data Protection in Mobile Cloud Computing: An Exploratory Study

Alnajrani

Norman

2020

Symmetry

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Mobile cloud computing (MCC) is a domain that stemmed from advances in mobile technology and cloud computing. Although debate continues about the best strategies to preserve privacy and personal data protection in MCC, it is essential to explore the effects of applying privacy by design (PbD) to preserve privacy and personal data protection in MCC. PbD is a general philosophy that demonstrates privacy should not be overviewed as an afterthought, but rather as a first-class requirement in the design of IT systems. This study explores the effects of applying PbD to preserve privacy and personal data protection in MCC, and is focused on the privacy of personal data. In this exploration, a framework using PbD has been demonstrated, and seven hypotheses were formulated. Moreover, a survey was implemented where 386 responses were used to test the formulated hypotheses. The results of this study supported the perceived benefits, cues to action of PbD, and perceived threat are positively and directly related to privacy and personal data protection behavior in MCC. Moreover, the results supported that the perceived barriers are negatively and directly related to privacy and personal data protection behavior in MCC. Overall, the results support the utilization of PbD to preserve privacy and personal data protection in MCC and encourage the practitioners to utilize PbD to preserve privacy and personal data protection in MCC.

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