Information Systems and Software Engineering: The Case for Convergence
February 06, 2024 Β· Declared Dead Β· π Social Science Research Network
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Brian Fitzgerald
arXiv ID
2402.04200
Category
cs.SE: Software Engineering
Citations
2
Venue
Social Science Research Network
Last Checked
4 months ago
Abstract
The Information Systems (IS) and Software Engineering (SE) fields share a remarkable number of similarities in their historical evolution to date. These similarities are briefly outlined below. An analysis of 10 years (2001-2010) of publications in the primary journals in both fields also reveals a good deal of overlap in research topics. Given the challenges faced by both as young disciplines, there is potentially much to gain from a closer interaction between both fields than has traditionally been the case. This article seeks to encourage such interaction, and illustrates how this might usefully occur in the area of design. It concludes by proposing a number of practical initiatives that could stimulate and facilitate interaction between the IS and SE fields
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