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Understanding the Implications of Changes to Build Systems 24

Understanding the Implications of Changes to Build Systems

引用

39th ACM/IEEE International conference on Automated software engineering (ASE)

作者： Nejati, Mahtab Alfadel, Mahmoud McIntosh, Shane Univ Waterloo Software REBELs Waterloo ON Canada Univ Calgary Dept Comp Sci Calgary AB Canada

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

The maintenance of build systems imposes a considerable overhead on software development. Since automated quality assurance methods are rarely applied to build specifications, the importance of the role peer code review plays in the maintenance of build systems is amplified. Yet prior work shows that the review process for build systems suffers from a lack of build experts and effective tooling. To support the understanding of changes to build specifications (a key stage in the review process), we propose BCIA-an approach to summarize the impact of changes to build specifications across the build configuration space. BCIA traverses the paths through which data and control flow in the prior and updated versions of the build system to generate an Impact knowledge Graph (IKG), which describes the impact of the change across the build configuration space. We develop BuiScout-a prototype implementation of BCIA for CMake-based build systems. We use BuiScout to evaluate our approach through an empirical study of 10,000 change sets that we mine from ten large open-source projects that span a total of 28 development years. Our findings indicate that BuiScout can detect an impact that propagates to unmodified parts of the build system in 77.37% of the studied change sets. These changes impact a median of 14 unmodified commands, with a median of 95.55% of the impacted commands per change set appearing in unmodified files. Our study suggests that dedicated approaches, such as BCIA, have the potential to alleviate the challenges developers face when assessing the impact of changes to build systems.

关键词： Build systems Build system maintenance Impact analysis

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The Application of LLMs in the Analysis and Modeling of software Requirements 24

The Application of LLMs in the Analysis and Modeling of Soft...

引用

24th IEEE International conference on software Quality, Reliability and Security Companion, QRS-C 2024

作者： Wang, Zhipeng Feng, Changxi Liu, Longfei Jiao, Guotao Ye, Peng School of Computer Science and Artificial Intelligence WuGuotao Jiaohan Textile University China Engineering Research Center of Hubei Province for Clothing Information Wuhan Textile University China

ISBN: (纸本)9798350365658

In modern software engineering, requirements analysis and modeling are key steps in requirements engineering, influencing the subsequent system design and implementation. Traditional requirements analysis and modeling methods usually involve multiple stakeholders such as requirements providers and analysts working together collaboratively and iteratively, requiring a significant amount of manpower. It is of great significance to reduce the burden on requirements providers and analysts and improve the efficiency of analysis and modeling. In existing work, some merely utilize knowledge repositories to provide more knowledge in support of analysis or modeling, while others employ natural language processing (NLP) techniques to automate the analysis or modeling process. However, neither has relieved the burden on requirements providers and analysts. The emergence of large language models(LLMs) has brought new possibilities to requirements analysis and modeling. LLMs can combine knowledge base processing and understanding of large amounts of natural language data, providing a new automated requirement analysis method. This paper proposes an automated requirements analysis and modeling method for Support Vector Machine(SVM) classifier and LLMs - SVM-LLMs. The method is deployed based on the intelligent requirement service platform - 'Wisdom Requirement Communication', which combines SVM and LLMs to effectively improve the accuracy of requirements analysis and significantly reduce the time in the software development process. © 2024 IEEE.

关键词： Application programs

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MAPE-K based Guidelines for Designing Reactive and Proactive Self-adaptive Systems 17th

MAPE-K Based Guidelines for Designing Reactive and Proactive...

引用

17th European conference on software Architecture (ECSA)

作者： Jilderda, Hendrik Raibulet, Claudia Vrije Univ Amsterdam De Boelelaan 1111 Amsterdam Netherlands Univ Milano Bicocca DISCo Dipartimento Informat Sistemist & Comunicaz Viale Sarca 336 I-20126 Milan Italy

ISBN: (纸本)9783031663253;9783031663260

The rapid evolution of complex software systems claims for novel approaches, such as self-adaptive systems that can autonomously adjust their behavior to meet changing requirements and dynamic contexts. This paper proposes guidelines for the development of reactive and proactive approaches to self-adaptive systems. The guidelines concern architectural based approaches using explicitly the MAPE-K (Monitor, Analyze, Plan, Execute using knowledge) control feedback loop. The proposed guidelines are organized into five parts, one for each step of the MAPE-K loop including the knowledge with the goal to provide guidance when designing and implementing self-adaptive systems from a software engineering point of view. Three self-adaptive artifacts (i.e., OCCI Monitoring, DingNet, and SWIM) from different application domains (i.e., cloud computing, Internet of Things, Web application) have been analyzed by considering the proposed guidelines. Their reactive and proactive characteristics are compared.

关键词： Self-Adaptive Systems Reactive Proactive MAPE-K software Design

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Calico: Automated knowledge Calibration and Diagnosis for Elevating Al Mastery in Code Tasks 2024

Calico: Automated Knowledge Calibration and Diagnosis for El...

引用

33rd ACM SIGSOFT International conference on software Testing and Analysis (ISSTA)

作者： Qiu, Yuxin Hu, Jie Zhang, Qian Yin, Heng Univ Calif Riverside Riverside CA 92521 USA

ISBN: (纸本)9798400706127

Recent advancements in large language models (I.I.N4s) have exhibited promising capabilities in addressing various tasks such as defect detection and program repair. Despite their prevalence, LLMs still face limitations in effectively handling these tasks. Common strategies to adapt them and improve their performance for specific tasks involve fine-tuning models based on user data or employing in-context learning with examples of desired inputs and outputs. However, they pose challenges for practical adoption due to the need for extensive computational resources, high-quality data, and continuous maintenance. Furthermore, neither strategy can explain or reason about the deficiencies of LLMs in the given tasks. We propose CALICO to address the high cost of fine-tuning, eliminate the necessity for task-specific examples, and provide explanations of LLM deficiency. At the heart of CALICO is an evolutionary approach that interleaves knowledge calibration and Al deficiency diagnosis. The key essence of CALICO is as follows. First, it focuses on identifying knowledge gaps in LLiVls' program comprehension. Second, it conducts automated code refactoring to integrate the overlooked knowledge into the source code for mitigating those gaps. Third, it employs what-ifanalysis and counterfactual reasoning to determine a minimum set of overlooked knowledge necessary to improve the performance of LLMs in code tasks. We have extensively evaluated CALICO over 8,938 programs on three most commonly seen code tasks. Our experimental results Show that vanilla ChatGPT cannot fully understand code structures. With knowledge calibration, Latico improves it by 20% and exhibits comparable proficiency compared to fine-tuned LLIVIs. Deficiency diagnosis contributes to 8% reduction in program sizes while ensuring performance. These impressive results demonstrate the feasibility of utilizing a vanilla for automated software engineering (SE) tasks, thereby avoiding the high computational costs ass

关键词： software engineering software testing large language model

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Natural Language Processing (NLP) based Extraction of Tacit knowledge from Written Communication during software Development 4

Natural Language Processing (NLP) based Extraction of Tacit ...

引用

4th International conference on Advancements in Computational Sciences, ICACS 2023

作者： Noor, Maham Rana, Zeeshan Ali University of Central Punjab Faculty of Information and Technology Lahore Pakistan FAST School of Computing FAST-NUCES Lahore Pakistan

ISBN: (纸本)9781665463775

software engineering, in general, and Global software engineering (GSE), in particular, face challenges such as handling communication and collaboration issues and inappropriate knowledge management. It is difficult to ensure availability of right knowledge at the right time to the right person during software engineering activity. The knowledge needs to be shared across the organization but limitations of knowledge sharing tools or dispersed knowledge sharing media and improper handling of tacit knowledge makes it more challenging to share knowledge. Significant amount of communication during software engineering process takes place via emails and discussion forums. Decisions taken during planning activities are also communicated through emails. These emails and the discussions do not necessarily cover the rationale behind a decision or approach adopted. This leaves a substantial portion of shared knowledge as tacit. Mostly, due to undefined tacit knowledge handling procedures, organizations suffer with the loss of critical knowledge and information. One way to handle this loss of knowledge is to store every information in knowledge repository but this can increase the size of the knowledge repository. This paper presents a three step approach to identify tacit knowledge in the written communication such that the organizations can save the tacit knowledge for future use. The presented approach does not only extract up to 57% of tacit knowledge but also indicates that only 20% of the whole communication need to be externalized hence saving 80% capacity of the knowledge repository, if every communication was to be preserved as potential tacit knowledge. © 2023 IEEE.

关键词： knowledge management

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Proceedings - 2024 22nd International conference on ICT and knowledge engineering, ICT and KE 2024

Proceedings - 2024 22nd International Conference on ICT and ...

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22nd International conference on ICT and knowledge engineering, ICT and KE 2024

ISBN: (纸本)9798350391411

The proceedings contain 40 papers. The topics discussed include: development of a web-based intervention application for high school teachers’ intervention efforts;ADOMATH: an android mobile game application for preschoolers;calculation method of winning percentage in handball games and its application to player evaluation;strategic prioritization of industry 4.0 adoption in Indonesian manufacturing SMEs: a best-worst method analysis;predicting motorcycle tire failure with deep learning;GoCart: an IoT-based cart system with promotional feature in mobile application;process mining techniques utilizing ChatGPT: a comparative analysis with disco software on call center log data;and siltation modeling in Laguna Lake: a case study of Brgy. Palingon, Calamba City.

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Avionics Analytics Ontology Preliminary Flight Test Results for Decision Support 24

Avionics Analytics Ontology Preliminary Flight Test Results ...

引用

Integrated Communications, Navigation and Surveillance conference (ICNS)

作者： Insaurralde, Carlos C. Blasch, Erik UWE Bristol Robot Lab Bristol Avon England MOVEJ Analyt Dayton OH USA

ISBN: (纸本)9798350393101;9798350393095

The Unmanned Aerial Vehicles (UAV) Avionics Analytics Ontology (U-AAO) framework prototype experimental results demonstrate verification for UAV traffic management (UTM). The U-AAO prototype is a proof-of-concept framework that consists of a software application and a hardware platform. The software application entails a digital support system (AAO), its managing mechanisms to access query and retrieve query results information from the AAO, and the user interface to display the AAO querying results to the system stakeholders, and an Automatic Dependence Surveillance-Broadcast (ADS-B) collection application. The hardware platform consists of two rotary-wing drones and two fixed-wing drones equipped with ADS-B, and a computer that runs the decision support system and ADS-B collection software application. The computer plays the role of a ground operation station to monitor ADS-B communications for aircraft detection.

关键词： decision-making support knowledge engineering avionics analytics ontology-based applications

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Multi-Privacy Level Encryption Technique for Secure Cloud-based Data Repositories

Multi-Privacy Level Encryption Technique for Secure Cloud-Ba...

引用

2024 International conference on knowledge engineering and Communication Systems, ICKECS 2024

作者： Sunil Kumar Aithal, S. Rajashree Nmam Institute of Technology Department of Computer Science and Engineering Nitte India

ISBN: (纸本)9798350359688

Cloud security encompasses the deployment of advanced technologies, methodologies, and programming to safeguard cloud-based applications, ensuring their protection against potential threats and vulnerabilities. Cloud computing is an environment for providing services namely platform, software, hardware and infrastructure on user demand posing a serious challenge for enabling high secure digital data cloud repository. To keep sensitive information safe in cloud computing, we must use strong techniques to protect it from external attackers. In today's world, creating a security system that will last a lifetime is extremely difficult, as attackers gain more ways to access data as time progresses. Hence, we create a web based application that uses several encryption levels, including the DNA algorithm, Vigenere Cipher, and Advanced Encryption Standard (AES) algorithm to achieve greater confidentiality before loading a digital data onto cloud storage. © 2024 IEEE.

关键词： Cloud security

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Experiencing Education 5.0 for Civil engineering 5

Experiencing Education 5.0 for Civil Engineering

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5th International conference on Industry 4.0 and Smart Manufacturing (ISM)

作者： Calvetti, Diego Meda, Pedro de Sousa, Hipolito Goncalves, Miguel Chichorro Amorim Faria, Jose Manuel da Costa, Jorge Moreira Univ Porto CONSTRUCT GEQUALTEC Fac Engn P-4200465 Porto Portugal

Nowadays, the construction industry's digital transformation processes are challenging civil engineering education. In general, students and society underestimate the civil engineering field as an outdated and archaic knowledge area. Despite the defragmentation and heterogeneity of the sector, advances have been made on the path for Construction 4.0 and 5.0 scenarios. From this perspective, the CONSTRUCT-Gequaltec group of the Faculty of engineering of the University of Porto have been sponsoring research and technological development using hardware and software targeting construction management solutions. This paper presents the work in progress mainly connected to the curricular units regarding project management in the Construction Section of the Civil engineering Department. It also targets assumptions of some expected results across the research and innovation priorities from ECTP Innovative Built Environment and United Nations Sustainable Development Goals (SDGs). Two fundamental elements of the teaching practices are presented as the Construction Sites of the Future (Laboratory -based Education initiative) and Digital products catalogue targeting Digital Twins in Construction (Project based Learning initiative). The learning outcomes address increasing knowledge of innovative solutions, delivering skills to deploy 5.0 actions, and targeting humancentred and sustainable attitudes and values.

关键词： Construction 4.0 Worker 4.0 Students 5.0 Civil engineering 5.0

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An Empirical Study of License Conflict in Free and Open Source software 23

An Empirical Study of License Conflict in Free and Open Sour...

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IEEE/ACM 45th International conference on software engineering - software engineering in Practice (ICSE-SEIP)

作者： Cui, Xing Wu, Jingzheng Wu, Yanjun Wang, Xu Luo, Tianyue Qu, Sheng Ling, Xiang Yang, Mutian Chinese Acad Sci Inst Software Beijing Peoples R China Beijing ZhongKeWeiLan Technol Co Ltd Beijing Peoples R China

ISBN: (纸本)9798350300376

Free and Open Source software (FOSS) has become the fundamental infrastructure of mainstream software projects. FOSS is subject to various legal terms and restrictions, depending on the type of open source license in force. Hence it is important to remain compliant with the FOSS license terms. Identifying the licenses that provide FOSS and understanding the terms of those licenses is not easy, especially when dealing with a large amount of reuse that is common in modern software development. Since reused software is often large, automated license analysis is needed to address these issues and support users in license compliant reuse of FOSS. However, existing license assessment tools can only identify the name and quantity of licenses embedded in software and thus cannot identify whether the licenses are being used safely and correctly. Moreover, they cannot provide a comprehensive analysis of the compatibility and potential risk that come with the term conflicts. In this paper, we propose DIKE, an automated tool that can perform license detection and conflict analysis for FOSS. First, DIKE extracts 12 terms under 3,256 unique open source licenses by manual analysis and Natural Language Processing (NLP) and constructs a license knowledge base containing the responsibilities of the terms. Second, DIKE scans all licenses from the code snippet for the input software and outputs the scan results in a tree structure. Third, the scan results match the license knowledge base to detect license conflicts from terms and conditions. DIKE designs two solutions for software with license conflicts: license replacement and code replacement. To demonstrate the effectiveness of DIKE, we first evaluate with the term extraction and responsibility classification, and the results show that their F1-scores reach 0.816 and 0.948, respectively. In addition, we conduct a measurement study of 16,341 popular projects from GitHub based on our proposed DIKE to explore the conflict of license us

关键词： Free and Open Source software license analysis license conflict natural language processing

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