Natural Language Processing for Requirements Engineering: The Best Is Yet to Come

Dalpiaz, Fabiano; Ferrari, Alessio; Franch, Xavier; Palomares, Cristina

doi:10.1109/ms.2018.3571242

Cited by 94 publications

(63 citation statements)

References 2 publications

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“…The decision to express requirements in a programming language may bridge the gap. It may also be the only way to bring the developers closer to the requirements they implement: industry practitioners are generally not keen to switching their tools [16]. The advanced state of code reuse has all chances to skyrocket the state of requirements reuse if the requirements take the form of code.…”

Section: Supporting Workmentioning

confidence: 99%

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Object-Oriented Requirements: Reusable, Understandable, Verifiable

Naumchev

2019

Software Technology: Methods and Tools

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Insufficient requirements reusability, understandability and verifiability jeopardize software projects. Empirical studies show little success in improving these qualities separately. Applying objectoriented thinking to requirements leads to their unified treatment. An online library of reusable requirement templates implements recurring requirement structures, offering a starting point for practicing the unified approach.

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Section: Supporting Workmentioning

confidence: 99%

“…Natural language processing (NLP) would be an appropriate instrument for implementing these tools [16].…”

Section: Future Workmentioning

confidence: 99%

Object-Oriented Requirements: Reusable, Understandable, Verifiable

Naumchev

2019

Software Technology: Methods and Tools

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“…Requirements tend to be redundant due to several concurrent projects and large number of requirements of those projects. Requirements written by several analysts of different projects or different departments of same project are in huge number [6].…”

Section: Nlp For Rementioning

confidence: 99%

Role of Deep Recurrent Neural Networks in Natural Language Processing

2019

IJRTE

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Deep learning methods are used to study hierarchical representations of data. Natural Language Processing is a group of computing methodologies used for analyzing and illustrating of Natural Language (NL). Natural Language is used to collect and present information in numerous fields. NLP can be to extract and process information in human language automatically. This paper is to highlight vital research contributions in text analysis, classification and extracting useful information using NLP

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“…Identifying method requirements is not an easy task, and the SME literature only provides very generic recommendations. For SUPERSEDE, we propose to use goal models (represented as i* models [20]) as well as the domain knowledge to extract method intentions and to assess context criteria. Indeed, a goal model interconnects the main actors via goal dependencies and allows to derive method intentions from these goals.…”

Section: Example: Requirements Prioritizationmentioning

confidence: 99%

A Situational Approach for the Definition and Tailoring of a Data-Driven Software Evolution Method

Franch

Ralyté

Perini

et al. 2018

Advanced Information Systems Engineering

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Evolution is a cornerstone activity in the software life cycle. Successful evolution heavily depends on the selection of the right features to be included in the next release. Such selection is difficult, and companies often report bad experiences about user acceptance. To overcome this challenge, there is an increasing number of approaches that propose intensive use of data to drive evolution. This trend has motivated the SUPERSEDE method, which proposes the collection and analysis of user feedback and monitoring data as the baseline to elicit and prioritize requirements, which are then used to plan the next release. However, every company may be interested in tailoring this method depending on factors like project size, scope, privacy issues, etc. In order to provide a systematic approach, we propose the use of Situational Method Engineering to describe SUPERSEDE and guide its tailoring to a particular context.

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Natural Language Processing for Requirements Engineering: The Best Is Yet to Come

Cited by 94 publications

References 2 publications

Object-Oriented Requirements: Reusable, Understandable, Verifiable

Object-Oriented Requirements: Reusable, Understandable, Verifiable

Role of Deep Recurrent Neural Networks in Natural Language Processing

A Situational Approach for the Definition and Tailoring of a Data-Driven Software Evolution Method

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