Search results for "ELM"

showing 10 items of 4807 documents

Seeking Technical Debt in Critical Software Development Projects : An Exploratory Field Study

2016

In recent years, the metaphor of technical debt has received considerable attention, especially from the agile community. Still, despite the fact that agile practices are increasingly used in critical domains, to the best of our knowledge, there are no studies investigating the occurrence of technical debt in critical software development projects. The results of an exploratory field study conducted across several projects reveal that a variety of business and environmental factors cause the occurrence of technical debt in critical domains. Using Grounded Theory method, these factors are categorized as ambiguity of requirement, diversity of projects, inadequate knowledge management, and res…

ta113Agile usability engineeringKnowledge managementbusiness.industryEmpirical process (process control model)Agile Unified Process020207 software engineering02 engineering and technologySoftware peer reviewcomputer.software_genreExtreme programming practicestechnical debtTechnical debt020204 information systemssoftware development0202 electrical engineering electronic engineering information engineeringLean software developmentbusinessohjelmistokehityscomputerAgile software development
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A Network-Based Framework for Mobile Threat Detection

2018

Mobile malware attacks increased three folds in the past few years and continued to expand with the growing number of mobile users. Adversary uses a variety of evasion techniques to avoid detection by traditional systems, which increase the diversity of malicious applications. Thus, there is a need for an intelligent system that copes with this issue. This paper proposes a machine learning (ML) based framework to counter rapid evolution of mobile threats. This model is based on flow-based features, that will work on the network side. This model is designed with adversarial input in mind. The model uses 40 timebased network flow features, extracted from the real-time traffic of malicious and…

ta113Computer scienceintrusion detectionmobile threatsFeature extractionEvasion (network security)concept-driftAdversaryComputer securitycomputer.software_genreFlow networkMobile malwareanomaly detectionVariety (cybernetics)haittaohjelmatmachine learningkoneoppiminenmobiililaitteetMalwaretietoturvacomputerHumanoid robot
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Collaborative EA Information Elicitation Method : The IEM for Business Architecture

2015

This study contributes to the enterprise architecture (EA) methodologies by suggesting a method for eliciting architecture requirements: gathering both the current architecture information, and the development needs and requirements for the business architecture (BA) dimension in EA planning. Most of all EA dimensions, the developing of the BA requires collaboration with various non-IT stakeholders. It presents thus challenges to the IT department, or the consultancy involved in EA related efforts. The contribution of the various stakeholder groups as informants is, however, crucial to well founded EA design decisions. The suggested method takes related IS development fields as starting poi…

ta113EngineeringKnowledge managementRequirements engineeringbusiness.industryrequirements elicitationComputingMethodologies_MISCELLANEOUSStakeholderEnterprise architectureInformation technologyRequirements elicitationpublic administrationBusiness process modelingKnowledge acquisitionmethodsmenetelmätenterprise architectureBusiness architecturejulkinen hallintokokonaisarkkitehtuuribusiness
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Fault-proneness of open source software: Exploring its relations to internal software quality and maintenance process

2013

The goal of this study is to explore how fault-proneness of open source software (OSS) could be explained in terms of internal quality attributes and maintenance process metrics. We reviewed earlier studies and performed a multiple case study of eight Java-based projects based on data available in the Source Forge repository. Overall, we studied 342 re- leases of those systems. As is usual, software quality was regarded as a set of internal and external quality attributes. A to- tal of 76 internal quality attributes were measured from the source code of the selected systems via the tool SoftCalc. Two external quality attributes contributing to fault-proneness were in turn obtained from the …

ta113Engineeringfault-pronenessbusiness.industryopen-source softwareSoftware developmentohjelmiston ylläpitoprosessiSoftware peer reviewsoftware qualityohjelmiston laatuSoftware qualityavoimen lähdekoodin ohjelmistoSoftware analyticsvirhealttiusSoftware sizingPersonal software processohjelmistomittaritSoftware quality analystsoftware metricsSoftware verification and validationSoftware engineeringbusinesssoftware maintenance processThe Open Software Engineering Journal
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Investigating serendipity in recommender systems based on real user feedback

2018

Over the past several years, research in recommender systems has emphasized the importance of serendipity, but there is still no consensus on the definition of this concept and whether serendipitous items should be recommended is still not a well-addressed question. According to the most common definition, serendipity consists of three components: relevance, novelty and unexpectedness, where each component has multiple variations. In this paper, we looked at eight different definitions of serendipity and asked users how they perceived them in the context of movie recommendations. We surveyed 475 users of the movie recommender system, MovieLens regarding 2146 movies in total and compared tho…

ta113Information retrievalComputer scienceSerendipityuutuudetpalautesuosittelujärjestelmätNoveltyserendipityContext (language use)02 engineering and technologyVariation (game tree)Recommender systemunexpectednessPreferenceMovieLenssattumanovelty020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRelevance (information retrieval)relevancerecommender systemsProceedings of the 33rd Annual ACM Symposium on Applied Computing
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Cross-Domain Recommendations with Overlapping Items

2016

In recent years, there has been an increasing interest in cross-domain recommender systems. However, most existing works focus on the situation when only users or users and items overlap in different domains. In this paper, we investigate whether the source domain can boost the recommendation performance in the target domain when only items overlap. Due to the lack of publicly available datasets, we collect a dataset from two domains related to music, involving both the users’ rating scores and the description of the items. We then conduct experiments using collaborative filtering and content-based filtering approaches for validation purpose. According to our experimental results, the sourc…

ta113Information retrievaldata collectionComputer sciencesuosittelujärjestelmät02 engineering and technologyDomain (software engineering)020204 information systemscollaborative filtering0202 electrical engineering electronic engineering information engineeringcross-domain recommendationscontent-based filtering020201 artificial intelligence & image processingrecommender systems
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Support vector machine integrated with game-theoretic approach and genetic algorithm for the detection and classification of malware

2013

Abstract. —In the modern world, a rapid growth of mali- cious software production has become one of the most signifi- cant threats to the network security. Unfortunately, wides pread signature-based anti-malware strategies can not help to de tect malware unseen previously nor deal with code obfuscation te ch- niques employed by malware designers. In our study, the prob lem of malware detection and classification is solved by applyin g a data-mining-based approach that relies on supervised mach ine- learning. Executable files are presented in the form of byte a nd opcode sequences and n-gram models are employed to extract essential features from these sequences. Feature vectors o btained are…

ta113Network securitybusiness.industryComputer scienceFeature vectorFeature extractionuhatBytecomputer.file_formatMachine learningcomputer.software_genrehaittaohjelmatSupport vector machineObfuscation (software)ComputingMethodologies_PATTERNRECOGNITIONnetworknetwork securityMalwareData miningArtificial intelligenceExecutabletietoturvabusinesscomputer2013 IEEE Globecom Workshops (GC Wkshps)
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Utilizing online serious games to facilitate distributed requirements elicitation

2015

Online serious games are used to facilitate distributed requirements elicitation.Interactive games enhance collaboration and communication between project members.Serious games raise individuals' confidence to engage in requirements elicitation.Using serious games can improve both quality and quantity of software requirements.Serious games specially enhance the performance of less-experienced stakeholders. Requirements elicitation is one of the most important and challenging activities in software development projects. A variety of challenges related to requirements elicitation are reported in the literature, of which the lack of proper communication and knowledge transfer between software …

ta113Requirements managementBusiness requirementsRequirementEngineeringserious gamesKnowledge managementbusiness.industryrequirements elicitationSoftware developmentRequirements elicitationpelitEmpirical researchhyötypelitHardware and Architecturesoftware developmentohjelmistokehitysbusinessRequirements analysisKnowledge transferSoftwaregamesInformation SystemsJournal of Systems and Software
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Continuous Requirements Risk Profiling in Information Systems Development

2015

With the increasing adoption of agile, lean, and iterative development methods, information systems development (ISD) has become continuous, meaning that system development moves rapidly from release to release. This means that work practices and challenges that practitioners face have changed. Despite these changes, requirements development is still critical in ISD. However, IS literature is silent on how to manage requirements-related risks in the practice of continuous IS development. To fill this gap, we propose a continuous requirements risk profiling method. The study is informed by design science research methodology, and we apply focus group interviews and a Delphi study for data co…

ta113Requirements managementIterative and incremental developmentProcess managementKnowledge managementbusiness.industryComputer sciencerisk profilingRisk management information systemsvaatimusmäärittelytinformation systemsrisk managementinformation systems developmentohjelmistosuunnitteluSoftwareISDInformation systemriskianalyysiohjelmistokehitysbusinessDesign methodsRisk managementsoftware engineeringtietojärjestelmätAgile software development2015 48th Hawaii International Conference on System Sciences
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A Serendipity-Oriented Greedy Algorithm for Recommendations

2017

Most recommender systems suggest items to a user that are popular among all users and similar to items the user usually consumes. As a result, a user receives recommendations that she/he is already familiar with or would find anyway, leading to low satisfaction. To overcome this problem, a recommender system should suggest novel, relevant and unexpected, i.e. serendipitous items. In this paper, we propose a serendipity-oriented algorithm, which improves serendipity through feature diversification and helps overcome the overspecialization problem. To evaluate our algorithm and compare it with others, we employ a serendipity metric that captures each component of serendipity, unlike the most …

ta113SerendipityComputer sciencebusiness.industrysuosittelujärjestelmät020207 software engineeringserendipity02 engineering and technologyalgorithmsunexpectednessnoveltyalgoritmit0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencerecommender systemsGreedy algorithmbusinessGreedy randomized adaptive search procedure
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