Results 61 to 70 of about 17,778 (193)
Ensuring Syntactic Interoperability Using Consumer‐Driven Contract Testing
Software Testing, Verification and Reliability, Volume 35, Issue 5, August 2025.This study presents a systematic literature review on consumer‐driven contract testing, a testing technique that ensures syntactic compatibility between microservices through isolated test execution. We develop a theory on when and how to use consumer‐driven contract testing and evaluate it with the insights of an action research study.
Georg‐Daniel Schwarz +2 more
wiley +1 more source
Revisit security in the era of DevOps: An evidence‐based inquiry into DevSecOps industry
IET Software, 2023 By adopting agile and lean practices, DevOps aims to achieve rapid value delivery by speeding up development and deployment cycles, which however lead to more security concerns that cannot be fully addressed by an isolated security role only in the final
Xin Zhou +7 more
doaj +1 more source
Applied business analytics approach to IT projects – Methodological framework [PDF]
, 2017 The design and implementation of a big data project differs from a typical business intelligence project that might be presented concurrently within the same organization. A big data initiative typically triggers a large scale IT project that is expected
Ivanov, Penko, Zlatev, Vladimir
core
Integrating Security Controls in DevSecOps: Challenges, Solutions, and Future Research Directions
Journal of Software: Evolution and Process, Volume 37, Issue 6, June 2025.In this paper, we conducted a systematic literature review on security controls in DevSecOps. We identified 19 challenges and 18 solutions that are reported in the literature. We also identified research gaps where future research efforts should be directed.
Maysa Sinan +2 more
wiley +1 more source
Applied AI Letters, Volume 6, Issue 2, April 2025.This paper introduces a “normative‐descriptive‐prescriptive” framework to analyze decision‐making processes within machine learning (ML) workflows, aiming to maximize business value. By identifying discrepancies between ideal practices and actual decisions, the framework reveals common pitfalls such as data bias, misaligned metrics, and inadequate ...
Naveen Gudigantala +2 more
wiley +1 more source
Free range startups? Market scope, academic founders, and the role of general knowledge in AI
Strategic Management Journal, Volume 46, Issue 4, Page 1027-1079, April 2025.Abstract Research Summary High‐tech startups develop technologies, the market applicability of which can vary widely, enabling startups to target a range of market segments. Using a question‐driven approach to contrast startups with and without academic founders, we investigate the difference in the market applicability between the two groups on a ...
Shinjinee Chattopadhyay +2 more
wiley +1 more source
Cloud native approach of agile cloud-network converged application delivery
Dianxin kexue, 2020 ion:Cloud-network convergence is the strategy many telecom operators are implementing for the new information infrastructure,as the technicalbasis cloud native technology prompts the capability integration and business innovation.Leveraging the cloud ...
Yong CHEN +4 more
doaj +2 more sources
Model-based approach for semantic-driven deployment of containerized applications to support future internet services and architectures [PDF]
Serbian Journal of Electrical Engineering, 2019 Due to increasing number of connected Internet of Things (IoT) devices, enormous amount of data needs to be transmitted to the Cloud for processing, while the network is becoming Cloud computing’s bottleneck.
Petrović Nenad
doaj +1 more source
Process Debt: Definition, Risks, and Management
Journal of Software: Evolution and Process, Volume 37, Issue 4, April 2025.We provide a novel framework to categorize process debt, a reference point for practice and future research. The framework defines the interrelations among various elements of process debt and can be used to iteratively analyze and structure PD initiatives, suggest improvements, and provide guidance for decision‐making.
Antonio Martini +4 more
wiley +1 more source
Lifecycle Models in Machine Learning Development
Expert Systems, Volume 42, Issue 4, April 2025.ABSTRACT Machine Learning (ML) development introduces challenges that traditional software processes often struggle to address. As ML applications grow in complexity and adoption, various lifecycle models have been proposed to address the unique stages of ML development.
Antonio Crespí +3 more
wiley +1 more source