Towards A Double-Edged Sword: Modelling the Impact in Agile Software Development
May 02, 2024 Β· Declared Dead Β· π XP Workshops
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Michael Neumann, Philipp Diebold
arXiv ID
2405.01757
Category
cs.SE: Software Engineering
Citations
1
Venue
XP Workshops
Last Checked
5 months ago
Abstract
Agile methods are state of the art in software development. Companies worldwide apply agile to counter the dynamics of the markets. We know, that various factors like culture influence the successfully application of agile methods in practice and the sucess is differing from company to company. To counter these problems, we combine two causal models presented in literature: The Agile Practices Impact Model and the Model of Cultural Impact. In this paper, we want to better understand the two facets of factors in agile: Those influencing their application and those impacting the results when applying them. This papers core contribution is the Agile Influence and Imact Model, describing the factors influencing agile elements and the impact on specific characteristics in a systematic manner.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted