Detecting Vague Words &amp; Phrases in Requirements Documents in a Multilingual Environment

Cruz, Breno Dantas; Jayaraman, Bargav; Dwarakanath, Anurag; McMillan, Collin

doi:10.1109/re.2017.24

Cited by 15 publications

(15 citation statements)

References 14 publications

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“…Recently, a growing body of research has assessed the use of NLP techniques to extract requirements based on different types of user feedback for the requirements elicitation process [55]. For example, [56] created a tool for detecting ambiguous words in translated SRS.…”

Section: Current State Of Practice Of Nlp In Rementioning

confidence: 99%

A Bird’s Eye View of Natural Language Processing and Requirements Engineering

Alzayed¹,

Al-Hunaiyyan²

2021

IJACSA

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Natural Language Processing (NLP) has demonstrated effectiveness in many application domains. NLP can assist software engineering by automating various activities. This paper examines the interaction between software requirements engineering (RE) and NLP. We reviewed the current literature to evaluate how NLP supports RE and to examine research developments. This literature review indicates that NLP is being employed in all the phases of the RE domain. This paper focuses on the phases of elicitation and the analysis of requirements. RE communication issues are primarily associated with the elicitation and analysis phases of the requirements. These issues include ambiguity, inconsistency, and incompleteness. Many of these problems stem from a lack of participation by the stakeholders in both phases. Thus, we address the application of NLP during the process of requirements elicitation and analysis. We discuss the limitations of NLP in these two phases. Potential future directions for the domain are examined. This paper asserts that human involvement with knowledge about the domain and the specific project is still needed in the RE process despite progress in the development of NLP systems.

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Section: Current State Of Practice Of Nlp In Rementioning

confidence: 99%

A Bird’s Eye View of Natural Language Processing and Requirements Engineering

Alzayed¹,

Al-Hunaiyyan²

2021

IJACSA

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“…For each example, the set of attributes includes either a one or zero for each word, depending on if that word occurs in the text of the turn or not. Recent industry-track papers [6,19] came to the conclusion that to maximize potential industrial impact, researchers should prioritize simplicity, and only move to more complex approaches when absolutely necessary. We stuck to binary bag of words for this reason.…”

Section: Attributesmentioning

confidence: 99%

Detecting speech act types in developer question/answer conversations during bug repair

Wood

Rodeghero

Armaly

et al. 2018

Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of

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is paper targets the problem of speech act detection in conversations about bug repair. We conduct a "Wizard of Oz" experiment with 30 professional programmers, in which the programmers x bugs for two hours, and use a simulated virtual assistant for help. en, we use an open coding manual annotation procedure to identify the speech act types in the conversations. Finally, we train and evaluate a supervised learning algorithm to automatically detect the speech act types in the conversations. In 30 two-hour conversations, we made 2459 annotations and uncovered 26 speech act types. Our automated detection achieved 69% precision and 50% recall. e key application of this work is to advance the state of the art for virtual assistants in so ware engineering. Virtual assistant technology is growing rapidly, though applications in so ware engineering are behind those in other areas, largely due to a lack of relevant data and experiments. is paper targets this problem in the area of developer Q/A conversations about bug repair. CCS CONCEPTS•So ware and its engineering → Maintaining so ware;

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“…Nos trabalhos de [7,41] foi descrito que são sinais de deficiência em requisitos e um concreto sintoma para defeito de qualidade. Nos trabalhos [5,12] foi descrito que podem ser sinais de imprecisão ou ambiguidade na declaração de requisitos, causando alto custo de refatoração. Nos trabalhos de [7,8,21], Requirements Smells foi definido de forma mais detalhada e contextualizada, onde estas anomalias são caracterizadas por:…”

Section: Resultados Da Buscaunclassified