The purpose of this contribution is to discuss and communicate areas where technological challenges in the Computer Science and Software Development Sector lie. Having been in touch with technical side of many companies, we have compiled a list of common technological challenges in the sector. We see this kind of inventory beneficial to the academic community as it provides an account of industry challenges. The analysis would be necessary to really assist players in the sector in being better prepared for formalizing and documenting their learning and know-how development. Beside knowledge management benefits the analysis also would help taking advantage of research and development funding and attract investors; both academic and industrial organizations can take advantage of this aspect. We are calling this type of analysis “capabilities analysis”. A single company might not solve the world’s technical problems, but just being aware of them and measuring steps taken to advance, even slightly, in the direction of solving the problems presented in this analysis would make the company stand out. When data is formulated this way, strong evidence is created that the project goes beyond standard engineering by distinguishing risk that can be eliminated through experiment from standard engineering risk.
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- Analysis of Industrial Challenges and Capabilities in Computer Science and Software Development Sector: Model Driven Engineering
Mohammad Reza Shadnam
- Springer Berlin Heidelberg