Do developers discuss design?

Brunet, João; Murphy, Gail C.; Terra, Ricardo R.; Figueiredo, Jorge C. A. de; Serey, Dalton

doi:10.1145/2597073.2597115

Cited by 49 publications

(74 citation statements)

References 8 publications

(7 reference statements)

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“…The only difference is the use of scikit-learn for the classifiers, instead of NLTK. Doing this allowed us to match the results that the original paper [5] obtained.…”

Section: A Strict Replicationmentioning

confidence: 96%

“…RO1: Our first research objective is to assess, by replication, whether it is possible to accurately label a given natural language discussion as pertaining to software design. We conduct an exact replication of the study of Brunet et al [5]. We also examined, but did not exactly replicate, similar studies (as shown in Table I).…”

Section: Introductionmentioning

confidence: 93%

“…1) Brunet's study [5] selected data from 77 Github projects using their discussions found in pull requests and issues. 2) Brunet and his colleagues labeled 1000 of those discussions using a coding guide.…”

Section: A Strict Replicationmentioning

confidence: 99%

“…This subjectivity makes analyzing design decisions difficult [4]. Researchers have looked for ways in which design discussions could be automatically extracted from different types of software artifacts [5], [6], [7], [8], [9], [10], [11]. This automatic extraction, which we call design mining, is a subset of research based on mining software repositories.…”

Section: Introductionmentioning

confidence: 99%

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Cross-Dataset Design Discussion Mining

Mahadi

Tongay

Ernst

2020

2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)

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Being able to identify software discussions that are primarily about design-which we call design mining-can improve documentation and maintenance of software systems. Existing design mining approaches have good classification performance using natural language processing (NLP) techniques, but the conclusion stability of these approaches is generally poor. A classifier trained on a given dataset of software projects has so far not worked well on different artifacts or different datasets. In this study, we replicate and synthesize these earlier results in a meta-analysis. We then apply recent work in transfer learning for NLP to the problem of design mining. However, for our datasets, these deep transfer learning classifiers perform no better than less complex classifiers. We conclude by discussing some reasons behind the transfer learning approach to design mining.

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“…The only difference is the use of scikit-learn for the classifiers, instead of NLTK. Doing this allowed us to match the results that the original paper [5] obtained.…”

Section: A Strict Replicationmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 93%

Section: A Strict Replicationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cross-Dataset Design Discussion Mining

Mahadi

Tongay

Ernst

2020

2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)

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“…CSE offers new opportunities to overcome this capture problem since it provides multiple practices and documentation locations in which developers can capture decision knowledge. () For example, developers capture decisions when they commit code in commit messages …”

Section: Foundationsmentioning

confidence: 99%

Continuous software engineering and its support by usage and decision knowledge: An interview study with practitioners

Johanßen

Kleebaum

Paech

et al. 2019

J Software Evolu Process

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Continuous software engineering (CSE) emerged as a process that is increasingly applied by practitioners. However, different perceptions impede its adoption in industry. Furthermore, opportunities through utilizing usage and decision knowledge remain unexploited. We conducted a semi‐structured interview study with 24 practitioners from 17 companies to study how practitioners apply CSE during software evolution and how usage and decision knowledge can support CSE. Regarding the application of CSE, we identified five perspectives on CSE with tool‐ and methodology‐driven definitions most prevalent. Automated tests, involved users, and shared rulesets are perceived as most relevant for CSE. Practitioners report more positive than negative experiences; however, more than half of their responses were neutral. Practitioners' future plans for CSE focus on enhancement, expansion, and on‐demand adaption. Regarding the integration of usage and decision knowledge into CSE, practitioners perceive accountability and traceability as major benefits, while raising concerns about its feasibility and user groups. As short‐term extensions, practitioners expect improvements regarding automation and role aspects, while long‐term additions to integration and experimentation capabilities are demanded. We conclude that CSE remains partially difficult to capture for practitioners, while their attitude toward integrating usage and decision knowledge into CSE is positive.

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A critical assessment of the design issues in e‐commerce systems development

Ehikioya

Guillemot

2020

Engineering Reports

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Designers of electronic commerce (e-commerce) transaction system applications face many challenges; some are old while others are emerging because of the emerging nature of the e-commerce domain itself. This article examines the critical design challenges at different stages of the design process of e-commerce applications. The high-level designs have a large number of new issues specific to Web applications. Among them, the security and networking problems are the most determinant for the success of the applications. At the detailed design level, the languages and the user interface are major concerns. The user interface, specific to the Web, forces designers to redefine the traditional concept of the end user for the more appropriate customer-centric concept. This is necessary to address the needs of consumers and for the survival of e-commerce businesses.In addition, we also examine issues bothering the development team and the e-commerce environment. Designers experienced in non-Web applications can be more successful at developing e-commerce applications if they address the issues we identified in this article in a creative way. K E Y W O R D Sdesign issues, e-commerce, e-commerce systems/application INTRODUCTIONThe concept of electronic commerce (e-commerce) has crystallized into a fairly well understood concept 1-7 ; its popularity and fast paced acceptance as an alternative to the brick and mortar market economic model 3,8 tend to undermine a clear understanding, and clear exposition of the characteristics, of e-commerce. Most adherents of e-commerce often focus only on the exchange of value end product 6,7 without paying close attention to, or knowing the intricacies of, the underlying transaction itself. 1,4,[9][10][11][12][13] Therefore, a proper characterization of e-commerce applications is fundamental. We focus on the design challenges in e-commerce transactions in a typical business-to-consumer (B2C) e-commerce domain, which is more popular, more widely patronized by users, and attracts a higher volume of e-commerce transactions. The B2C e-commerce includes retail transactions of products or services from businesses to individual shoppers (ie, businesses sell products or services to individual consumers). Thus, the seller is a business organization whereas the buyer is a consumer.

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Do developers discuss design?

Cited by 49 publications

References 8 publications

Cross-Dataset Design Discussion Mining

Cross-Dataset Design Discussion Mining

Continuous software engineering and its support by usage and decision knowledge: An interview study with practitioners

A critical assessment of the design issues in e‐commerce systems development

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