# Software Engineering — PUBLICMCP Public Library

Published research on software design, testing, maintenance, programming languages, and development methods from OpenAlex.

- Source institution: OpenAlex
- Set id: `openalex-set-software-engineering`
- Items: 367
- Canonical page: https://publicmcp.org/library/software-engineering

## Query via MCP (no API key)

```
search_library(query="software engineering", source="openalex")
# endpoint: https://library.publicmcp.org/mcp — no API key required
```

## Sample items (25 of 367)

- [Large Language Models for Software Engineering: A Systematic Literature Review](https://doi.org/10.1145/3695988)
- [Software Testing With Large Language Models: Survey, Landscape, and Vision](https://doi.org/10.1109/tse.2024.3368208)
- [New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution](https://doi.org/10.3390/su151612451)
- [YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection](https://doi.org/10.3390/machines11070677)
- [NanoPack2: population-scale evaluation of long-read sequencing data](https://doi.org/10.1093/bioinformatics/btad311)
- [Smart hospitality: from smart cities and smart tourism towards agile business ecosystems in networked destinations](https://doi.org/10.1108/ijchm-04-2022-0497)
- [Methods and applications for Artificial Intelligence, Big Data, Internet of Things, and Blockchain in smart energy management](https://doi.org/10.1016/j.egyai.2022.100208)
- [Digital Twins: State of the art theory and practice, challenges, and open research questions](https://doi.org/10.1016/j.jii.2022.100383)
- [Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view](https://doi.org/10.1016/j.ijpe.2022.108618)
- [Ten Years of Industrie 4.0](https://doi.org/10.3390/sci4030026)
- [Deep reinforcement learning for dynamic scheduling of a flexible job shop](https://doi.org/10.1080/00207543.2022.2058432)
- [Carbon Capture and Storage: History and the Road Ahead](https://doi.org/10.1016/j.eng.2021.11.024)
- [Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption](https://doi.org/10.1016/j.ijpe.2022.108458)
- [Influence of Blockchain Technology in Manufacturing Supply Chain and Logistics](https://doi.org/10.3390/logistics6010015)
- [Application of nanotechnology in food packaging: Pros and Cons](https://doi.org/10.1016/j.jafr.2022.100270)
- [The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions](https://doi.org/10.1109/jiot.2021.3139827)
- [Critical success factors influencing artificial intelligence adoption in food supply chains](https://doi.org/10.1080/00207543.2021.1959665)
- [Artificial intelligence for supply chain resilience: learning from Covid-19](https://doi.org/10.1108/ijlm-02-2021-0094)
- [Hard-to-Abate Sectors: The role of industrial carbon capture and storage (CCS) in emission mitigation](https://doi.org/10.1016/j.apenergy.2021.117322)
- [Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework](https://doi.org/10.1080/00207543.2021.1950935)
- [How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops](https://doi.org/10.1016/j.jbusres.2021.05.009)
- [Software Engineering for AI-Based Systems: A Survey](https://doi.org/10.1145/3487043)
- [Re-thinking functional food development through a holistic approach](https://doi.org/10.1016/j.jff.2021.104466)
- [Industry 4.0 technologies: critical success factors for implementation and improvements in manufacturing companies](https://doi.org/10.1080/09537287.2021.1891481)
- [The Effect of Blockchain Technology on Supply Chain Sustainability Performances](https://doi.org/10.3390/su13041726)

## About

Part of the PUBLICMCP Public Library — a free, open MCP server exposing 2.7M+ primary sources to AI agents. Every item is attributed and linked to its originating institution. Hub: https://publicmcp.org/library · Index: https://publicmcp.org/library/index.md · Site guide: https://publicmcp.org/llms.txt