Challenges in Adopting Artificial Intelligence Based User Input Verification Framework in Reporting Software Systems

Artificial intelligence is driving new industrial solutions for challenging problems once considered impossible. Many large-scale companies use AI to identify opportunities to improve business processes and products. Despite the promise and perils of AI, many traditional software systems (e.g., taxa...

Full description

Saved in:
Bibliographic Details
Published in2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) pp. 99 - 109
Main Authors Kim, Dong Jae, Locke, Steve, Chen, Tse-Hsun Peter, Toma, Andrei, Sporea, Steve, Weinkam, Laura, Sajedi, Sarah
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2023
Subjects
Behavioral sciences
Experience Report
Industries
Manuals
Navigation
Software systems
Stakeholders
Testing
Uncertainty
User Input
Verification
Online AccessGet full text

Cover

More Information
Summary:Artificial intelligence is driving new industrial solutions for challenging problems once considered impossible. Many large-scale companies use AI to identify opportunities to improve business processes and products. Despite the promise and perils of AI, many traditional software systems (e.g., taxation or reporting) are implemented without AI in mind. Adopting AI-based capabilities in such software can be challenging due to a lack of resources and uncertainties in requirements. This paper documents our experience working with our industry partner on adopting AI capabilities in enterprise software. The enterprise software receives and processes thousands of user inputs with different configuration settings daily, which makes manual user input verification infeasible. To assist our industry partner, we design and integrate an AI-based input verification framework into the software. However, during the design and integration of the framework, we encounter many challenges that range from the requirement engineering process to the development, adoption, and verification process. We discuss the challenges we encountered and their corresponding solutions while working with our industrial partner to integrate the AI-based input verification framework into their non-AI software. Our experience report may provide valuable insight to practitioners and researchers on better integrating AI-based capabilities with existing software systems.
ISSN:2832-7659
DOI:10.1109/ICSE-SEIP58684.2023.00014