Artificial Intelligence Impact On The Labour Force -- Searching For The Analytical Skills Of The Future Software Engineers
February 26, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Sabina-Cristiana Necula
arXiv ID
2302.13229
Category
cs.SE: Software Engineering
Cross-listed
cs.AI,
cs.CY
Citations
6
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This systematic literature review aims to investigate the impact of artificial intelligence (AI) on the labour force in software engineering, with a particular focus on the skills needed for future software engineers, the impact of AI on the demand for software engineering skills, and the future of work for software engineers. The review identified 42 relevant publications through a comprehensive search strategy and analysed their findings. The results indicate that future software engineers will need to be competent in programming and have soft skills such as problem-solving and interpersonal communication. AI will have a significant impact on the software engineering workforce, with the potential to automate many jobs currently done by software engineers. The role of a software engineer is changing and will continue to change in the future, with AI-assisted software development posing challenges for the software engineering profession. The review suggests that the software engineering profession must adapt to the changing landscape to remain relevant and effective in the future.
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