SwePub
Sök i LIBRIS databas

  Utökad sökning

LAR1:bth
 

Sökning: LAR1:bth > Replication in Requ...

Replication in Requirements Engineering : The NLP for RE Case

Abualhaija, Sallam (författare)
University of Luxembourg, Luxembourg
Basak Aydemir, F. (författare)
Utrecht University, Netherlands
Dalpiaz, Fabiano (författare)
Utrecht University, Netherlands
visa fler...
Dell’Anna, Davide (författare)
Utrecht University, Netherlands
Ferrari, Alessio (författare)
CNR ISTI, Pisa, Italy
Franch, Xavier (författare)
Universitat Politecnica de Catalunya, Spain
Fucci, Davide, 1985- (författare)
Blekinge Tekniska Högskola,Institutionen för programvaruteknik
visa färre...
 (creator_code:org_t)
Association for Computing Machinery (ACM), 2024
2024
Engelska.
Ingår i: ACM Transactions on Software Engineering and Methodology. - : Association for Computing Machinery (ACM). - 1049-331X .- 1557-7392. ; 33:6
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Natural language processing (NLP) techniques have been widely applied in the requirements engineering (RE) field to support tasks such as classification and ambiguity detection. Despite its empirical vocation, RE research has given limited attention to replication of NLP for RE studies. Replication is hampered by several factors, including the context specificity of the studies, the heterogeneity of the tasks involving NLP, the tasks’ inherent hairiness, and, in turn, the heterogeneous reporting structure. To address these issues, we propose a new artifact, referred to as ID-Card, whose goal is to provide a structured summary of research papers emphasizing replication-relevant information. We construct the ID-Card through a structured, iterative process based on design science. In this article: (i) we report on hands-on experiences of replication; (ii) we review the state-of-the-art and extract replication-relevant information: (iii) we identify, through focus groups, challenges across two typical dimensions of replication: data annotation and tool reconstruction; and (iv) we present the concept and structure of the ID-Card to mitigate the identified challenges. This study aims to create awareness of replication in NLP for RE. We propose an ID-Card that is intended to foster study replication but can also be used in other contexts, e.g., for educational purposes. © 2024 Copyright held by the owner/author(s).

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)

Nyckelord

annotation
ID card
Natural Language Processing (NLP)
replication
Requirements Engineering (RE)
tool reconstruction
Employment
Iterative methods
Natural language processing systems
ID cards
Language processing
Language processing techniques
Natural language processing
Natural languages
Requirement engineering
Requirements engineering

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy