Iskanje po katalogu digitalne knjižnice

Opis: Background: The software product lines (SPL) enable development teams to fully address a systematic reuse of shared assets to deliver a family of similar software products. Mobile applications are an obvious candidate for employing an SPL approach. This paper presents our research outcomes, based on empirical data from an industry-level development project. Two development teams were confronted with the same functionalities set to be delivered through a family of native mobile applications for Android and iOS. Methods: Empirical data was gathered before, during and after a year of full-time development. The data demonstrate the impact of a SPL approach by comparing the SPL and non-SPL multiple edition development. One family of products (Android apps) was developed using an SPL approach, while another (iOS apps), functionally the same, was developed without employing an SPL approach. The project generated a volume of raw and aggregated empirical data to support our research questions. Results: The paper reports a positive impact of an SPL approach on product quality (internal and external) and feature output per week. As data shows, it also increases the delivery of functionalities (240% in 6 more editions), while investing the same amount of effort needed for a single-edition development. As a result of system-supported separation of development and production code, developers had a high confidence in further development. On the other hand, the second team delivered less new functionalities, only two new application editions, and lower software quality than the team that manages multi-edition development by employing an SPL approach.
Ključne besede: software product line, Android, simultaneous development, iOS, Software quality, software product editions
Objavljeno v DKUM: 17.04.2025; Ogledov: 0; Prenosov: 0
Celotno besedilo (2,46 MB)
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Opis: Effort estimation is critical in software engineering to assess the resources needed for development tasks and to enable realistic commitments in agile iterations. This study investigates whether generative AI tools, which are transforming various aspects of software development, can improve effort estimation efficiency. A controlled experiment was conducted in which development teams upgraded an existing information system, with the experimental group using the generative-AI-based tool GitLab Duo for estimation and the control group using conventional methods (e.g., planning poker or analogy-based planning). Results show that while generative-AI-based estimation tools achieved only 16% accuracy—currently insufficient for industry standards—they offered valuable support for task breakdown and iteration planning. Participants noted that a combination of conventional methods and AI-based tools could offer enhanced accuracy and efficiency in future planning.
Ključne besede: software engineering, agile development, iteration planning, effort estination, generative AI, tool accuracy
Objavljeno v DKUM: 24.12.2024; Ogledov: 0; Prenosov: 15
Celotno besedilo (1,29 MB)

Opis: Outsourcing in logistics is an important step to reduce costs and increase operational efficiency. In this sense, it is possible to come across outsourcing in many areas of logistics processes. One of the outsourcing steps is the decision to select the software. Choosing the right software can affect the market share of the organization and the implementation time, effort, and cost. The findings of this research will help the marketing and sales teams of software product companies to develop key points and also enable end users to make informed decisions in selecting software packages for the organization. In this study, the studies in the literature were examined through the Scopus database, and co-citation analysis was performed using the VOSviewer program. As a result of the analysis, the articles analyzed were divided into four clusters and explained.
Ključne besede: logistics, software selection, VOSviewer
Objavljeno v DKUM: 01.10.2024; Ogledov: 0; Prenosov: 77
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Opis: Software evolution is driven by changes made during software development and maintenance. While source control systems effectively manage these changes at the commit level, the intent behind them are often inadequately documented, making understanding their rationale challenging. Existing commit intent classification approaches, largely reliant on commit messages, only partially capture the underlying intent, predominantly due to the messages’ inadequate content and neglect of the semantic nuances in code changes. This paper presents a novel method for extracting semantic features from commits based on modifications in the source code, where each commit is represented by one or more fine-grained conjoint code changes, e.g., file-level or hunk-level changes. To address the unstructured nature of code, the method leverages a pre-trained transformer-based code model, further trained through task-adaptive pre-training and fine-tuning on the downstream task of intent classification. This fine-tuned task-adapted pre-trained code model is then utilized to embed fine-grained conjoint changes in a commit, which are aggregated into a unified commit-level vector representation. The proposed method was evaluated using two BERT-based code models, i.e., CodeBERT and GraphCodeBERT, and various aggregation techniques on data from open-source Java software projects. The results show that the proposed method can be used to effectively extract commit embeddings as features for commit intent classification and outperform current state-of-the-art methods of code commit representation for intent categorization in terms of software maintenance activities undertaken by commits.
Ključne besede: software maintenance, code commit, mining software repositories, adaptive pre-training, fine-tuning, semantic code embedding, CodeBERT, GraphCodeBERT, classification, code intelligence
Objavljeno v DKUM: 14.08.2024; Ogledov: 87; Prenosov: 15
Celotno besedilo (1,65 MB)

Opis: The present thesis focuses on the development of a platform that will digitalize the volunteer log in Montenegro. To best understand the needs of our platform, we first need to gain a better understanding of what volunteering is, how it is carried out, and by whom, all taking into consideration the legal context. The currently existing solution for logging volunteer hours is highly impractical and seemingly has a low number of uses, indicating a need for renewal. In Montenegro, volunteering as well as any efforts volunteers put in have low recognition. Our solution is an easy-to-use, web platform developed in Flutter that enables seamless tracking of all volunteer services and activities and sets the foundation for a digital platform for everything related to volunteering on a national level. The research identifies the necessary functionalities through questionnaires for volunteers and interviews with volunteer managers and coordinators. Additionally, it explores the legal outline and how it navigates the desired outcome. Finally, an application is presented alongside the recommended improvements that will be added in the future. The developed platform allows for easy and comprehensive volunteer activity data tracking and helps streamline the volunteer management process. Its implementation would help with the national recognition of volunteer, as well as the skills and competencies one acquires through it.
Ključne besede: Keywords: volunteer management, digital logbook, software development, flutter app
Objavljeno v DKUM: 01.07.2024; Ogledov: 128; Prenosov: 22
Celotno besedilo (2,26 MB)