Search the digital library catalog

Abstract: 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.
Keywords: logistics, software selection, VOSviewer
Published in DKUM: 01.10.2024; Views: 0; Downloads: 1
Link to file
This document has many files! More...

Abstract: 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.
Keywords: software maintenance, code commit, mining software repositories, adaptive pre-training, fine-tuning, semantic code embedding, CodeBERT, GraphCodeBERT, classification, code intelligence
Published in DKUM: 14.08.2024; Views: 87; Downloads: 7
Full text (1,65 MB)

Abstract: 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.
Keywords: Keywords: volunteer management, digital logbook, software development, flutter app
Published in DKUM: 01.07.2024; Views: 128; Downloads: 15
Full text (2,26 MB)

Abstract: Robotic bin-picking is increasingly important in the order-picking process in intralogistics. However, many aspects of the robotic bin-picking process (object detection, grasping, manipulation) still require the research community's attention. Established methods are used to test robotic grippers, enabling comparability of the research community's results. This study presents a modified YCB Robotic Gripper Assessment Protocol that was used to evaluate the performance of four robotic grippers (twofingered, vacuum, gecko, and soft gripper). During the testing, 45 objects from the modified YCB Object and Model Set from the packaging categories, tools, small objects, spherical objects, and deformable objects were grasped and manipulated. The results of the robotic gripper evaluation show that while some robotic grippers performed substantially well, there is an expressive grasp success variation over diverse objects. The results indicate that selecting the object grasp point next to selecting the most suitable robotic gripper is critical in successful object grasping. Therefore, we propose grasp point determination using mechanical software simulation with a model of a two-fingered gripper in an ADAMS/MATLAB cosimulation. Performing software simulations for this task can save time and give comparable results to real-world experiments.
Keywords: intralogistics, robotic bin-picking, YCB protocol, robotic gripper evaluation, mechanical software simulations, performance analysis
Published in DKUM: 21.03.2024; Views: 298; Downloads: 11
Full text (773,38 KB)
This document has many files! More...

Abstract: Different activities, artifacts, and roles can be found in the literature on the agile engineering of secure software (AESS). The purpose of this paper is to consolidate them and thus identify key activities, artifacts, and roles that can be employed in AESS. To gain initial sets of activities, artifacts, and roles, the literature was first extensively reviewed. Activities, artifacts, and roles were then cross-evaluated with similarity matrices. Finally, similarity matrices were converted into distance matrices, enabling the use of Ward’s hierarchical clustering method for consolidating activities, artifacts, and roles into clusters. Clusters of activities, artifacts, and roles were then named as key activities, artifacts, and roles. We identified seven key activities (i.e., security auditing, security analysis and testing, security training, security prioritization and monitoring, risk management, security planning and threat modeling; and security requirements engineering), five key artifacts (i.e., security requirement artifacts, security repositories, security reports, security tags, and security policies), and four key roles (i.e., security guru, security developer, penetration tester, and security team) in AESS. The identified key activities, artifacts, and roles can be used by software development teams to improve their software engineering processes in terms of software security.
Keywords: secure software development, security engineering, agile methods, agile development, software development, software engineering, software security, application security, cybersecurity, cyber resilience
Published in DKUM: 29.11.2023; Views: 417; Downloads: 10
Full text (557,17 KB)
This document has many files! More...