A Requirements Engineering Perspective to AI-Based Systems Development: A Vision Paper

Franch, Xavier; Jedlitschka, Andreas; Martínez‐Fernández, Silverio

doi:10.1007/978-3-031-29786-1_15

Cited by 3 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Architectural decisions affect a number of Architectural Elements, which can be AI-related Architectural Elements, and they Impact (either positively or negatively) to one or more Quality Attributes. In another work, Franch et al [35] reflect on the role of the requirements engineer in the development of AI-based systems and among other things, it establishes the responsibilities of this and other roles, which affects the software architect who may be highly involved in the process of defining and assessing software requirements.…”

Section: Current Resultsmentioning

confidence: 99%

Towards green AI-based software systems: an architecture-centric approach (GAISSA)

Martínez-Fernández,

Franch,

Durán

2023

2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)

Self Cite

View full text Add to dashboard Cite

Nowadays, AI-based systems have achieved outstanding results and have outperformed humans in different domains. However, the processes of training AI models and inferring from them require high computational resources, which pose a significant challenge in the current energy efficiency societal demand. To cope with this challenge, this research project paper describes the main vision, goals, and expected outcomes of the GAISSA project. The GAISSA project aims at providing data scientists and software engineers tool-supported, architecturecentric methods for the modelling and development of green AI-based systems. Although the project is in an initial stage, we describe the current research results, which illustrate the potential to achieve GAISSA objectives.

show abstract

Section: Current Resultsmentioning

confidence: 99%

Towards green AI-based software systems: an architecture-centric approach (GAISSA)

Martínez-Fernández,

Franch,

Durán

2023

2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)

Self Cite

View full text Add to dashboard Cite

show abstract

“…The second cluster relates to Software Requirements Engineering [9]. The process of eliciting and specifying requirements is a key topic in SE literature, as it involves translating a vague organizational context into a systematic technical description [37], [38], [39], [40]. This translation creates challenges in professional communication among stakeholders to deal with uncertainty and ambiguities.…”

Section: Related Workmentioning

confidence: 99%

Making Sense of AI Systems Development

Dolata,

Crowston

2024

IIEEE Trans. Software Eng.

View full text Add to dashboard Cite

We identify and describe episodes of sensemaking around challenges in modern Artificial-Intelligence (AI)-based systems development that emerged in projects carried out by IBM and client companies. All projects used IBM Watson as the development platform for building tailored AI-based solutions to support workers or customers of the client companies. Yet, many of the projects turned out to be significantly more challenging than IBM and its clients had expected. The analysis reveals that project members struggled to establish reliable meanings about the technology, the project, context, and data to act upon. The project members report multiple aspects of the projects that they were not expecting to need to make sense of yet were problematic. Many issues bear upon the current-generation AI's inherent characteristics, such as dependency on large data sets and continuous improvement as more data becomes available. Those characteristics increase the complexity of the projects and call for balanced mindfulness to avoid unexpected problems.

show abstract

Non-Functional Requirement Extracting Methods for AI-based Systems: A Survey

Damirchi,

Amini

2023

2023 13th International Conference on Computer and Knowledge Engineering (ICCKE)

View full text Add to dashboard Cite

A Requirements Engineering Perspective to AI-Based Systems Development: A Vision Paper

Cited by 3 publications

References 30 publications

Towards green AI-based software systems: an architecture-centric approach (GAISSA)

Towards green AI-based software systems: an architecture-centric approach (GAISSA)

Making Sense of AI Systems Development

Non-Functional Requirement Extracting Methods for AI-based Systems: A Survey

Contact Info

Product

Resources

About