2023
DOI: 10.1109/access.2023.3325325
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A Systematic Framework for Addressing Critical Challenges in Adopting DevOps Culture in Software Development: A PLS-SEM Perspective

Kausar-Nasreen Khattak,
Faiza Qayyum,
Syed Shehryar Ali Naqvi
et al.

Abstract: DevOps is the bundle of applications and culture activity that focuses to separate the challenges between evaluation and performance associates to boost participation and communication. Several companies clutch DevOps fundamentals due to tremendous perspectives, like small tempo for production, rise accuracy, and durability. In contempt of the global assumption of DevOps and its framework, there is an absence of interpretation studies and essential ideas, implementation, and issues related to executing DevOps … Show more

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Cited by 2 publications
(3 citation statements)
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“…Still, it also has drawbacks because of dispersed consumers, such as environmental conditions, language barriers, and cultural differences. These challenges, arising from the customer's side, might severely influence the CRM process outlined in the earlier literature research presented by [33]. As noted by Dikert et al [34], these issues may negatively affect interactions between customers and organizations, adding more obstacles to the CRM practices of businesses working in a GSD environment.…”
Section: Related Workmentioning
confidence: 96%
“…Still, it also has drawbacks because of dispersed consumers, such as environmental conditions, language barriers, and cultural differences. These challenges, arising from the customer's side, might severely influence the CRM process outlined in the earlier literature research presented by [33]. As noted by Dikert et al [34], these issues may negatively affect interactions between customers and organizations, adding more obstacles to the CRM practices of businesses working in a GSD environment.…”
Section: Related Workmentioning
confidence: 96%
“…Recent advances in this field have developed and resulted in many systems adopting such models to overcome processing and computational challenges. Much of the focus in this area is primarily on improving hardware, but not much emphasis has been placed on the software side [32], where AI models can help enhance images before they are transmitted to the brain.…”
Section: Related Workmentioning
confidence: 99%
“…The i-branch takes a 256 × 256 image as an input, which is passed through four 2D convolution layers each followed by a layer except the last convolution layer. The size of the image adjusts to the shape of (15,128,128), (15,128,128), (30,64,64), (60,32,32), and (120, 16,16), respectively, through the four convolution layers.…”
Section: Network Architecturementioning
confidence: 99%