A Systematic Literature Review on Using Natural Language Processing in Software Requirements Engineering

SC Necula, F Dumitriu, V Greavu-Șerban - Electronics, 2024 - mdpi.com
This systematic literature review examines the integration of natural language processing
(NLP) in software requirements engineering (SRE) from 1991 to 2023. Focusing on the …

Evaluation of asr systems for conversational speech: A linguistic perspective

HB Pasandi, HB Pasandi - Proceedings of the 20th ACM Conference on …, 2022 - dl.acm.org
Automatic speech recognition (ASR) meets more informal and free-form input data as voice
user interfaces and conversational agents such as the voice assistants such as Alexa …

[HTML][HTML] An architecture for model-based and intelligent automation in DevOps

R Eramo, B Said, M Oriol, H Bruneliere… - Journal of Systems and …, 2024 - Elsevier
The increasing complexity of modern systems poses numerous challenges at all stages of
system development and operation. Continuous software and system engineering …

Evaluation of Automated Speech Recognition Systems for Conversational Speech: A Linguistic Perspective

HB Pasandi, HB Pasandi - arXiv preprint arXiv:2211.02812, 2022 - arxiv.org
Automatic speech recognition (ASR) meets more informal and free-form input data as voice
user interfaces and conversational agents such as the voice assistants such as Alexa …

Classifying Ambiguous Requirements: An Explainable Approach in Railway Industry

L Beqiri, CS Montero, A Cicchetti… - 2024 IEEE 32nd …, 2024 - ieeexplore.ieee.org
A clear understanding of customers” requirements is fundamental towards developing
products that behave as intended. Customers commonly use natural language (NL) to …

The Effects of Native Language on Requirements Quality

F Cowperthwaite, J Horkoff… - 2023 18th Conference …, 2023 - ieeexplore.ieee.org
[Context and motivation] More and more often software development projects involve
participants of diverse nationalities and languages. Thus, software companies tend to use …

[引用][C] A Proactive Approach to Reduce Requirements Ambiguity via Gamify4Req