1,721,031 research outputs found
Benchmarking: A Methodology for Ensuring the Relative Quality of Recommendation Systems in Software Engineering
Full text link
Mining Issue Trackers: Concepts and Techniques
No full text<p>These artefacts accompany the "Mining Issue Trackers: Concepts and Techniques" chapter within the "Handbook of Natural Language Processing for Requirements Engineering" book. The book chapter includes a "Use Cases" section where natural language processing (NLP) techniques are applied to issue tracker data from Montgomery et al. [1]. The JupyterNotebooks in this replication package can be used to follow along with the use cases in the chapter.</p>
<p>Lloyd Montgomery - [email protected]<br>Dr. Clara Lüders - [email protected]<br>Prof. Dr. Walid Maalej - [email protected]</p>
<p>All authors are affiliated with the University of Hamburg in Hamburg, Germany.</p>
<p>Please cite this work as:</p>
<p>Montgomery L, Lüders C, Maalej W. of Part, "Mining Issue Trackers: Concepts and Techniques," in "Handbook of Natural Language Processing for Requirements Engineering", 1st Edition, Ferrari A, Deshpande G. Eds. Springer Nature Switzerland AG, Cham, Switzerland, 2024, to appear.</p>
<p>Title of Chapter: "Mining Issue Trackers: Concepts and Techniques"</p>
<p>Abstract of the Chapter: An issue tracker is a software tool used by organisations to interact with users and manage various aspects of the software development lifecycle. With the rise of agile methodologies, issue trackers have become popular in open and closed-source settings alike. Internal and external stakeholders report, manage, and discuss “issues”, which represent different information such as requirements and maintenance tasks. Issue trackers can quickly become complex ecosystems, with dozens of projects, hundreds of users, thousands of issues, and often millions of issue evolutions. Finding and understanding the relevant issues for the task at hand and keeping an overview becomes difficult with time. Moreover, managing issue workflows for diverse projects becomes more difficult as organisations grow, and more stakeholders get involved. To help address these difficulties, software and requirements engineering research have suggested automated techniques based on mining issue tracking data. Given the vast amount of textual data in issue trackers, many of these techniques leverage natural language processing. This chapter discusses four major use cases for algorithmically analysing issue data to assist stakeholders with the complexity and heterogeneity of information in issue trackers. The chapter is accompanied by a follow-along demonstration package with JupyterNotebooks.</p>
<p>[1] Montgomery, L., Lüders, C., Maalej, W.: An alternative issue tracking dataset of public jira repositories. In: Proceedings of the 19th International Conference on Mining Software Repositories. pp. 73–77 (2022)</p>
Requirement engineering of software product lines: Extracting variability using NLP
Full text linkThe engineering of software product lines begins with the identification of the possible variation points. To this aim, natural language (NL) requirement documents can be used as a source from which variability-relevant information can be elicited. In this paper, we propose to identify variability issues as a subset of the ambiguity defects found in NL requirement documents. To validate the proposal, we single out ambiguities using an available NL analysis tool, QuARS, and we classify the ambiguities returned by the tool by distinguishing among false positives, real ambiguities, and variation points, by independent analysis and successive agreement phase. We consider three different sets of requirements and collect the data that come from the analysis performed
Social sensing: When users become monitors
Full text linkAdaptation requires a system to monitor its operational context to ensure that when changes occur, a suitable adaptation action is planned and taken at runtime. The ultimate goal of adaptation is that users get their dynamic requirements met efficiently and correctly. Context changes and users' judgment of the role of the system in meeting their requirements are drivers for adaptation. In many cases, these drivers are hard to identify by designers at design time and hard to monitor by the use of exclusively technological means by the system at runtime. In this paper, we propose Social Sensing as the activity performed by users who act as monitors and provide information needed for adaptation at runtime. Such information helps the system cope with technology limitations and designers' uncertainty. We discuss the motivation and foundations of Social Sensing and outline a set of research challenges to address in future work
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Generative AI in software engineering must be human-centered: The Copenhagen Manifesto
No full textFull list of authors: Daniel Russo, Sebastian Baltes, Niels van Berkel, Paris Avgeriou, Fabio Calefato, Beatriz Cabrero-Daniel, Gemma Catolino, Jürgen Cito, Neil Ernst, Thomas Fritz, Hideaki Hata, Reid Holmes, Maliheh Izadi, Foutse Khomh, Mikkel Baun Kjærgaard, Grischa Liebel, Alberto Lluch Lafuente, Stefano Lambiase, Walid Maalej, Gail Murphy, Nils Brede Moe, Gabrielle O'Brien, Elda Paja, Mauro Pezzè, John Stouby Persson, Rafael Prikladnicki, Paul Ralph, Martin Robillard, Thiago Rocha Silva, Klaas-Jan Stol, Margaret-Anne Storey, Viktoria Stray, Paolo Tell, Christoph Treude, Bogdan Vasilescu</p
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
- …
