This volume constitutes the refereed proceedings of the international conference on advanced software engineering and its applications, ASEA 2009, held as part of the Future Generation Information Technology Conferenc...
ISBN:
(纸本)9783642106187
This volume constitutes the refereed proceedings of the international conference on advanced software engineering and its applications, ASEA 2009, held as part of the Future Generation Information Technology conference, FGIT 2009, on Jeju Island, Korea, in December 2009. The conference focuses on the various aspects of advances in advancedsoftwareengineering and itsapplications with computational sciences, mathematics and information technology.
The proceedings contain 41 papers. The topics discussed include: a systematic literature review of software process improvement in small and medium Web Companies;An XCP based distributed calibration system;structural ...
ISBN:
(纸本)3642106188
The proceedings contain 41 papers. The topics discussed include: a systematic literature review of software process improvement in small and medium Web Companies;An XCP based distributed calibration system;structural and behavioral detection of design patterns;test case minimization and prioritization using CMIMX technique;embedded control software design with aspect patterns;towards a consistent semantics for unsafe time petri nets;a multiple viewed interrelated ontology model for holistic component specification and retrieval;a conflict-based model for problem-oriented softwareengineering and itsapplications solved by dimension change and use of intermediary;requirements engineering problems and practices in software companies: an industrial survey;and a formal methodology for semantics and time consistency checking of UML dynamic diagrams.
The proceedings contain 14 papers. The topics discussed include: usability evaluation methods for software development: a systematic mapping review;appraisal for Lokpal body using fuzzy multicriteria approach;high pri...
ISBN:
(纸本)9781467398374
The proceedings contain 14 papers. The topics discussed include: usability evaluation methods for software development: a systematic mapping review;appraisal for Lokpal body using fuzzy multicriteria approach;high privacy for data disclosures using Tree-EMD;a study on the modified estimation algorithm for searching target position;a study on optimum weight value and cost MUSIC algorithm of array steering vector;semantic data process method based on RDF for context information;impact of version history metrics on maintainability;consideration of similarity factors in integration of FP and SLOC for software project estimation;comparison of relational database with document-oriented database (MongoDB) for big data applications;a hybrid harmony search algorithm for the job shop scheduling problems;characterization of information systems with fuzzy and intuitionistic fuzzy decision attributes;and combining formal and informal decision making approaches to the design of a personalised GIS.
The proceedings contain 11 papers. The topics discussed include: model for the effectiveness estimation of simulation-based acquisition by considering the value of modeling and simulation;cost estimation of simulation...
ISBN:
(纸本)9781479977697
The proceedings contain 11 papers. The topics discussed include: model for the effectiveness estimation of simulation-based acquisition by considering the value of modeling and simulation;cost estimation of simulation models for the effectiveness estimation of simulation-based acquisition;current trends in usability evaluation methods: a systematic review;data integration progression in large data source using mapping affinity;the effect of database system application to alleviate chronic obstructive pulmonary disease;a design of efficient medical information system to enhance health behaviors after radical prostatectomy;construction for balanced Boolean function with maximum algebraic immunity;optical illusion effect by histogram analysis;a survey on encryption schemes in wireless sensor networks;a survey on security models, techniques, and tools for the internet of things;and quantitative risk management for communication and information systems: state-of-the-art and challenges.
Large Language Models (LLM) is a type of artificial neural network that excels at language-related tasks. The advantages and disadvantages of using LLM in softwareengineering are still being debated, but it is a tool...
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The escalating complexity of modern software systems has rendered the management of requirements increasingly arduous, often plagued by redundancy, inconsistency, and inefficiency. Traditional manual methods prove ina...
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The escalating complexity of modern software systems has rendered the management of requirements increasingly arduous, often plagued by redundancy, inconsistency, and inefficiency. Traditional manual methods prove inadequate for addressing the intricacies of dynamic, large-scale datasets. In response, this research introduces SQUIRE (Semantic Quick Requirements engineering), a cutting-edge automated framework leveraging advanced Natural Language Processing (NLP) techniques, specifically Sentence-BERT (SBERT) embeddings and hierarchical clustering, to semantically organize requirements into coherent functional clusters. SQUIRE is meticulously designed to enhance modularity, mitigate redundancy, and strengthen traceability within requirements engineering processes. its efficacy is rigorously validated using real-world datasets from diverse domains, including attendance management, e-commerce systems, and school operations. Empirical evaluations reveal that SQUIRE outperforms conventional clustering methods, demonstrating superior intracluster cohesion and inter-cluster separation, while significantly reducing manual intervention. This research establishes SQUIRE as a scalable and domain-agnostic solution, effectively addressing the evolving complexities of contemporary software development. By streamlining requirements management and enabling software teams to focus on strategic initiatives, SQUIRE advances the state of NLP-driven methodologies in Requirements engineering, offering a robust foundation for future innovations.
In order to create software that is reliable, efficient, and of the highest quality, it is imperative to predict and address bugs during the development stage. Early detection of faults is crucial;yet developing a cos...
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In order to create software that is reliable, efficient, and of the highest quality, it is imperative to predict and address bugs during the development stage. Early detection of faults is crucial;yet developing a cost-effective and successful advanced bug prediction model presents challenges. This research endeavor aims to achieve precise bug identification by exploring the utilization of various machine learning techniques on training and testing datasets. Multiple machine learning methods have been devised to identify and learn from software defects. This study employs machine learning techniques to conduct a comprehensive examination of software bug detection, offering valuable insights to the software industry. It synthesizes existing research on bug prediction, detailing different methods and highlighting their effectiveness, advantages, and limitations. This comprehensive analysis offers valuable guidance to researchers and software developers seeking to enhance bug detection methods for the creation of higher-quality software.
software-defined vehicles (SDVs) are an emerging technology in the automotive industry, changing from software to hardware. This paper discusses the total restructuring of the automobile at different levels, including...
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This paper introduces the Programmed Visual Content Comparison (PVCC) for collaborative programming learning. The PVCC is based on comparing two displayed visual objects produced by programming. This feature enables c...
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ISBN:
(纸本)9789819609130;9789819609147
This paper introduces the Programmed Visual Content Comparison (PVCC) for collaborative programming learning. The PVCC is based on comparing two displayed visual objects produced by programming. This feature enables candidates to take the tests in a lighthearted and fun manner because they only judge "which is more difficult." The test based on the PVCC method works well to assess a candidate's programming abilities related to Panoramic Understanding of Programming (PUP). We conducted a collaborative learning experiment with students in a programming class using the PVCC method. This experiment method contains two phases of activity. First, each candidate answers a problem with the reason for the judge. In the second (collaborative phase), candidates discuss their answers and reasons in a group and then make the group answer with its explanation. The result from the experiment suggests a potential that collaborative learning facilitated by the PVCC method is beneficial for students in programming education by improving understanding and problem-solving skills in programming.
With the rapid development of artificial intelligence technology, its application in the field of education and teaching is becoming increasingly widespread, bringing revolutionary changes to traditional education mod...
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