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检索条件"任意字段=Software Engineering Environments Conference"

共 10845 条记录，以下是1-10 订阅

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Reproducibility of Build environments through Space and Time 46

Reproducibility of Build Environments through Space and Time

引用

IEEE/ACM 46th International conference on software engineering - New Ideas and Emerging Results (ICSE-NIER)

作者： Malka, Julien Zacchiroli, Stefano Zimmermann, Theo Inst Polytech Paris Telecom Paris LTCI Palaiseau France

ISBN: (纸本)9798400705007

Modern software engineering builds up on the composability of software components, that rely on more and more direct and transitive dependencies to build their functionalities. This principle of reusability however makes it harder to reproduce projects' build environments, even though reproducibility of build environments is essential for collaboration, maintenance and component lifetime. In this work, we argue that functional package managers provide the tooling to make build environments reproducible in space and time, and we produce a preliminary evaluation to justify this claim. Using historical data, we show that we are able to reproduce build environments of about 7 million Nix packages, and to rebuild 99.94% of the 14 thousand packages from a 6-year-old Nixpkgs revision.

关键词： Reusability

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Exploring Diversity-Driven Power Dynamics in software engineering environments: Insights from a Qualitative Study 1

引用

15th International conference on software Business-ICSOB-Annual

作者： Tsilionis, Konstantinos Stoels, Jesse Wautelet, Yves Eindhoven Univ Technol Eindhoven Netherlands Katholieke Univ Leuven Leuven Belgium

ISBN: (数字)9783031858499

ISBN: (纸本)9783031858482;9783031858499

The presence of gender inequality in working environments is linked to broader societal issues, such as impediments to democratization and economic growth, affecting both developing and developed countries. In the software engineering (SE) field, gender imbalances seem to persist. While extensive research exists on the causes of these gender-based disparities, there is a notable gap in studies exploring how gender intersects with other diversity factors, particularly race, which may intensify discriminatory behaviors in the workplace. This paper investigates whether gender and racial diversity in certain educational and work environments drives the manifestation of power-mediated behaviors (i.e., influencing actions and goals or reshaping personal beliefs) within SE roles. We conducted semi-structured interviews with students in SE-related programs and professionals working in SE roles in Belgium to explore their perceptions of gender and racial diversity within their academic and professional environments. Utilizing an abductive research approach, we applied open, axial, and selective coding to structure the interview data. Our analysis aimed to identify key thematic maps (termed 'code-trees') and integrate them with a specific power-exertion framework. This exercise led us to derive specific interpretations (inferences) that illustrate how diversity influences and is influenced by power dynamics in SE environments. These interpretations can inform policy recommendations to foster equity, inclusivity, and representation in such environments. Our results demonstrate that power-exerting behaviors are primarily triggered by the presence of gender minorities, who experience discrimination in both study and work environments. In contrast, racial diversity does not appear to be consistently linked to coercive behaviors.

关键词： Diversity Dynamics Gender Inequality Racial Discrimination Power Dynamics software engineering

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Towards Integrating Emerging AI Applications in SE Education 36

Towards Integrating Emerging AI Applications in SE Education

引用

36th International conference on software engineering Education and Training (CSEE and T)

作者： Vierhauser, Michael Groher, Iris Antensteiner, Tobias Sauerwein, Clemens Univ Innsbruck Dept Comp Sci Innsbruck Austria Johannes Kepler Univ Linz Inst Business Informat Software Engn Linz Austria

ISBN: (纸本)9798350378986;9798350378979

Artificial Intelligence (AI) approaches have been incorporated into modern learning environments and software engineering (SE) courses and curricula for several years. However, with the significant rise in popularity of large language models (LLMs) in general, and OpenAI's LLM-powered chatbot ChatGPT in particular in the last year, educators are faced with rapidly changing classroom environments and disrupted teaching principles. Examples range from programming assignment solutions that are fully generated via ChatGPT, to various forms of cheating during exams. However, despite these negative aspects and emerging challenges, AI tools in general, and LLM applications in particular, can also provide significant opportunities in a wide variety of SE courses, supporting both students and educators in meaningful ways. In this early research paper, we present preliminary results of a systematic analysis of current trends in the area of AI, and how they can be integrated into university-level SE curricula, guidelines, and approaches to support both instructors and learners. We collected both teaching and research papers and analyzed their potential usage in SE education, using the ACM Computer Science Curriculum Guidelines CS2023. As an initial outcome, we discuss a series of opportunities for AI applications and further research areas.

关键词： AI Roadmap software engineering Education

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Green software Metrics 15

Green Software Metrics

引用

15th ACM/SPEC International conference on Performance engineering (ICPE)

作者： Brunnert, Andreas Munich Univ Appl Sci HM Munich Germany

ISBN: (纸本)9798400704451

Efficiency has always been at the core of software performance engineering research. Many aspects that have been addressed in performance engineering for decades are gaining popularity under the umbrella of Green IT and Green software engineering. Engineers and marketers in the industry are looking for ways to measure how green (in terms of carbon dioxide emissions) their software products are. Proxy measures are proposed, such as hosting cost or the power consumption of the hardware environment on which the software is running. In environments where a software system runs on a dedicated server instance, this may make sense, but in virtualised, containerised or serverless environments, it is necessary to find ways of allocating the energy consumption of the entire server to software components that share the same infrastructure. This paper proposes the use of resource demand measurements as a basis for measuring how green a given software actually is.

关键词： Green IT Green software engineering Resource Demand

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Learning Environment Interoperability in software engineering Education 36

Learning Environment Interoperability in Software Engineerin...

引用

36th International conference on software engineering Education and Training (CSEE and T)

作者： Bigler, Dimitri Manz, Julian Lee, Kevin Fischer, David Hagel, Georg Kempten Univ Appl Sci Fac Comp Sci Kempten Germany

ISBN: (纸本)9798350378986;9798350378979

This paper explores the significance of interoperability advancements in learning management systems (LMS) and the demand for customizable, flexible learning environments. We present a system that integrates learning resources from an LMS into a highly customizable frontend, including the embedded TaskAssessment, a programming task evaluating software. By incorporating standards such as Learning Tools Interoperability (LTI) and Experience API (xAPI), seamless interoperability across various systems is ensured. The goal is to contribute to the advancement of personalized learning experiences by learning element recommendation, automatic assessment and targeted feedback, while improving system interoperability.

关键词： interoperability LTI LMS LRS xAPI learning elements frontend adaptable learning environment learning analytics code evaluation

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Enriching software engineering Gamification environments with Social Information 1

引用

11st World conference on Information Systems and Technologies (WorldCIST)

作者： Pedreiral, Oscar Garcia, Felix Piattini, Mario Fernandez-Aleman, Jose Luis Kharbouch, Manal Univ A Coruna Fac Informat Elvilla S-N La Coruna 15071 Spain Univ Castilla La Mancha Paseo Univ 4 Ciudad Real 13071 Spain Univ Murcia Fac Informat Campus Univ 32 Murcia 30100 Spain

ISBN: (数字)9783031456459

ISBN: (纸本)9783031456442;9783031456459

Motivation: There has been a recent focus on the potential benefits of using gamification techniques to increase motivation and improve performance in software engineering environments. Problem: While many gamification proposals in software engineering utilize techniques such as points, levels, and rankings, there is some skepticism about the effectiveness of these basic techniques and some authors explored other complementary alternatives. Approach: This paper presents ongoing research on using social information analysis techniques as a complementary alternative to enhance gamified software engineering environments. Result: the inclusion of social information into gamified environments was proposed. To accomplish this, the relevant information to be delivered to users and the data sources for this information were identified. A simple infrastructure for integrating and processing social information was also proposed. Impact: If successful, this approach could potentially have a significant impact on the motivation and performance of people in software engineering environments.

关键词： software engineering Gamification Social Information

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Experimentation in Industrial software Ecosystems: an Interview Study 50

Experimentation in Industrial Software Ecosystems: an Interv...

引用

50th Euromicro conference on software engineering and Advanced Applications

作者： Hegazy, Shady Elsner, Christoph Bosch, Jan Olsson, Helena Holmstrom Siemens Technol Munich Germany Chalmers Univ Technol Dept Comp Sci & Engn Gothenburg Sweden Malmo Univ Dept Comp Sci & Media Technol Malmo Sweden

ISBN: (纸本)9798350380279;9798350380262

Industrial software ecosystems refer to a network of interdependent actors, co-creating value through a shared technological platform specifically tailored to industrial sectors. Developing, maintaining, and orchestrating such platforms involves many challenges that require complex decision making. Experimentation can help alleviate this complexity and reduce decision uncertainty and bias. However, experimentation requires certain organizational, infrastructural, and data-related prerequisites which can be uniquely challenging to achieve in industrial software ecosystems. Through semi-structured interviews with 25 industry professionals involved in various roles across 17 ecosystems, we analyze the difficulties faced in conducting effective experiments in such environments. The interview protocol covered aspects related to the methodologies, data handling processes, and current experimentation practices, as well as the challenges faced by practitioners who engage in experimentation initiatives. The study findings reveal technical, organizational, and market-related challenges, detailing the complexities facing experimentation initiatives in industrial software ecosystems. The findings are presented in an actionable manner, following a model that allows business-oriented alignment of architecture, process, and organizational evolution strategies. The study identifies key impediments, such as data integration difficulties, stringent regulatory environments, and prevailing organizational cultures that hinder continuous experimentation practices. Our analysis provides a foundation for understanding the unique challenges facing experimentation efforts in industrial software ecosystems and offers insights into potential strategies to improve the effectiveness of these initiatives.

关键词： Experimentation software Ecosystems A/B Testing Causal Inference Cyber-physical Systems

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A software Requirement Prioritization Method for Online Education software Development 4

A Software Requirement Prioritization Method for Online Educ...

引用

4th International conference on Information Communication and software engineering (ICICSE)

作者： Chen, Chen He, Yumin Bai, Shengling Beihang Univ Sch Econ & Management Beijing Peoples R China

ISBN: (纸本)9798350351705;9798350351699

Online education software development faces great challenge because of rapid growth and fierce competition on the Internet markets. A software requirement prioritization method for quick and accurate decision-making is critical for online education software development. This paper proposes a software requirement prioritization method for online education software development in agile software development environments. The paper also provides an application case of an online adult vocational education company with performance improvement achieved by the proposed method.

关键词： agile software development requirement engineering requirement management requirement prioritization e-learning

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Claim: a Lightweight Approach to Identify Microservices in Dockerized environments 24

Claim: a Lightweight Approach to Identify Microservices in D...

引用

28th International conference on Evaluation and Assessment in software engineering (EASE)

作者： Maggi, Kevin Verdecchia, Roberto Scommegna, Leonardo Vicario, Enrico Univ Florence Florence Italy

ISBN: (纸本)9798400717017

Background: Over the past decade, microservices have surged in popularity within software engineering. From a research viewpoint, mining studies are frequently employed to assess the evolution of diverse microservice properties. Despite the growing need, a validated static method to swiftly identify microservices seems to be currently missing in the literature. Aims: We present Claim, a lightweight static approach that analyzes configuration files to identify microservices in Dockerized environments, specifically designed with mining studies in mind. Method: To validate Claim, we conduct an empirical experiment comprising 20 repositories, 160 microservices, and 13k commits. A priori and manually defined ground truths are used to evaluate Claim's microservice identification effectiveness and efficiency. Results: Claim detects microservices with an accuracy of 82.0%, reports a median execution time of 61ms per commit, and requires in the worst case scenario 125.5s to analyze the history of a repository comprising 1509 commits. With respect to its closest competitor, CLAIM shines most in terms of false positive reduction (-40%). Conclusions: While not able to reconstruct a microservice architecture in its entirety, Claim is an effective and efficient option to swiftly identify microservices in Dockerized environments, and seems especially fitted for software evolution mining studies.

关键词： Microservices Static Analysis Repository Mining Docker

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Prompt engineering Impacts to software Test Architectures for Beginner to Experts

Prompt Engineering Impacts to Software Test Architectures fo...

引用

17th IEEE International conference on software Testing, Verification, and Validation (ICST)

作者： Hagar, Jon Masuda, Satoshi Grand Software Testing GST Hot Sulphur Springs CO 80451 USA Tokyo City Univ Informat Yokohama Kanagawa Japan

ISBN: (纸本)9798350344806;9798350344790

Interest in Artificial Intelligence is everywhere today, including mass media news articles, government research, academic writing, industry usage, and student learning assignments. AI will impact software, testing and related concepts such as software test environments and architectures. This paper presents a consideration of AI regarding test engineering concepts. The focus is on a concept supporting AI called prompt engineering, which helps people and testers using AI get better results. AI cannot be expected to help solve software test engineering problems without proper prompting. The paper introduces the AI concepts and relationships to historical testing. Actual example prompts are explored with implications and results. People learning prompt engineering to support testing will include students and active test engineer designers. While this paper is just a beginning on the test support concept of prompt engineering, future work is considered.

关键词： software Test Architecture (STA) Artificial Intelligence (AI) Prompt engineering Student-Tester/Designer Learning and Skills

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