Traceability-enabled refactoring for managing just-in-time requirements

Niu, Nan; Bhowmik, Tanmay; Liu, Hui; Niu, Zhendong

doi:10.1109/re.2014.6912255

Cited by 31 publications

(8 citation statements)

References 40 publications

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“…In their seminal work on just-in-time RE, Ernst and Murphy [51] emphasize on the extensive use of issue tracking systems in requirements elicitation and elaboration for OSS systems. Such a use of issue trackers has also been corroborated by other studies involving OSS systems [52][53][54][55]. However, our approach is general enough, and other sources of information, such as e-mail and IRC, could also be used in our framework.…”

Section: Our Creativity Frameworksupporting

confidence: 68%

Leveraging topic modeling and part-of-speech tagging to support combinational creativity in requirements engineering

et al. 2015

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Requirements engineering (RE), framed as a creative problem solving process, plays a key role in innovating more useful and novel requirements and improving a software system's sustainability. Existing approaches, such as creativity workshops and feature mining from web services, facilitate creativity by exploring a search space of partial and complete possibilities of requirements. To further advance the literature, we study creativity from a combinational perspective, i.e., making unfamiliar connections between familiar possibilities of requirements. In particular, we propose a novel framework that extracts familiar ideas from the requirements and stakeholders' comments using topic modeling, and automatically generates requirements by obtaining unfamiliar idea combinations by means of flipping the part-of-speech of identified topics. We apply our framework on two largescale open-source software systems (Firefox and Mylyn) and report two studies to assess the viability of combinational creativity in RE. The results show that the creativity merit of requirements generated by our framework judged by human experts is comparable to that of requirements created manually. Meanwhile, the cost of our framework is significantly less than manual work, measured by time spent generating requirements. Our work illuminates a possible improvement toward interactive generation of creative requirements using mechanism's outputs.

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Section: Our Creativity Frameworksupporting

confidence: 68%

Leveraging topic modeling and part-of-speech tagging to support combinational creativity in requirements engineering

et al. 2015

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“…It is recommended the researchers pay more attention to an industry-based investigation on the refactoring. Niu, Bhowmik, Liu, and Niu [30] suggested an approach to trace the requirements to identify accurately the locations in a system that need to be refactored and the refactoring that should to be applied. To assess the approach, an industrial case study was used.…”

Section: Resultsmentioning

confidence: 99%

“…Statistically, thirteen out of twenty studies (i.e. 65%) did not identify any type of refactoring techniques proposed by Fowler ([12], [13][23], [24], [25], [28], [29], [30], [31], [34], [32], [36], [38]). Moreover, two out of these thirteen studies ( [23], [34]) did not use the refactoring techniques from Fowler's catalog.…”

Section: • Applied Refactoring Techniquesmentioning

confidence: 99%

Empirical Studies on Software Refactoring Techniques in the Industrial Setting

Al¹

2021

TURCOMAT

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Software refactoring is an approach that aims to improve software system quality by restructuring its internal design without altering the functionality of the software system. The software refactoring has gained comprehensive attention from the research community in software engineering since its emerging in 1999. Empirical studies were carried out to investigate whether the software refactoring indeed can achieve improvement in the software system quality. It is widely believed that refactoring has a favorable quality impact. However, several researchers have opposed this belief. This paper presents a systematic literature review (SLR) of the empirical studies that have been conducted in the industrial setting. Twenty studies were chosen and analyzed in depth as primary studies.The objectives of this SLR are to identify the refactoring techniques examined, and software quality attributes investigated as well as to analyze the connection between the refactoring techniques and the software quality attributes based on the selected empirical studies to understand the situation. The findings showed a lack of empirical research on the effect of the refactoring on software quality. Additionally, the relationship between the refactoring techniques and software quality attributes is unclear. Thus, several recommendations have been proposed to address these gaps.

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“…Terdapat beberapa metode yang digunakan untuk refactoring. Metode clustering digunakan pada tiga penelitian, yaitu refactoring level package untuk menyeimbangkan antara cohesion dan coupling dengan algoritma Adaptif K-Nearest Neighbour (A-KNN) [5], refactoring pada requirement dalam format eXtensible Markup Language (XML) [6], dan refactoring pada komponen arsitektur untuk mencari komponen apa saja yang mirip dengan clustering dan selanjutnya dilakukan proses restrukturisasi [7]. Penelitian [8] menggunakan metode pendeteksian refactoring pada Refined Process Tree dari repositori process model dengan mencari kemiripan string label dan kemiripan fragmen.…”

Section: Rq1 : Teknik Atau Algoritma Metode -Metode Non-heuristicunclassified

Metode Non- Heuristic Untuk Deteksi Refactoring Non-Source Code (Systematic Literature Review)

Nindyasari

2015

Simet

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ABSTRAK Refactoring perangat lunak merupakan sebuah teknik untuk mentransformasi struktur internal perangkat lunak tanpa merubah fungsionalitas perangkat lunak itu sendiri. Refactoring termasuk dalam bentuk evolusi perangkat lunak, dimana hal ini bertujuan untuk meningkatkan kualitas perangkat lunak itu sendiri setelah perangkat lunak mengalami perbaikan, modifikasi, penambahan dan aktivitas perubahan lainnya dalam masa hidupnya. Tujuan penulisan pada paper kali ini adalah untuk melakukan Systematic Literature Review (SLR) tentang persoalan deteksi refactoring pada level non-source code yang tergolong pada metode non-heuristic. Dengan dilakukan SLR ini terdapat beberapa teknik seperti clustering, searching, Information Retrieval dan analisis regresi dapat digunakan untuk mendeteksi persoalan refactoring pada level non-source code. Dari beberapa teknik-teknik ini masing-masing memiliki kelebihan dan kekurangan. Teknik yang memiliki tingkat komputasi yang tinggi seperti clustering, searching, dan analisis regresi biasanya mampu menghasilkan refactoring yang lebih optimal dan menyeluruh dibandingkan dengan teknik lainnya seperti NLP dan teknik similaritas. Kata kunci: refactoring, non-source code refactoring, non-heuristic, systematic literature review.

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Traceability-enabled refactoring for managing just-in-time requirements

Cited by 31 publications

References 40 publications

Leveraging topic modeling and part-of-speech tagging to support combinational creativity in requirements engineering

Leveraging topic modeling and part-of-speech tagging to support combinational creativity in requirements engineering

Empirical Studies on Software Refactoring Techniques in the Industrial Setting

Metode Non- Heuristic Untuk Deteksi Refactoring Non-Source Code (Systematic Literature Review)

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