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检索条件"任意字段=23rd International Conference on Software Engineering and Data Engineering, SEDE 2014"

共 1044 条记录，以下是71-80 订阅

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Design Concerns for Industrial Big data System in the Smart Factory Domain. from Product Lifecycle View 23

Design Concerns for Industrial Big Data System in the Smart ...

引用

23rd international conference on engineering of Complex Computer Systems (ICECCS)

作者： Zhao, Hui Hou, Jianrong East China Normal Univ Sch Comp Sci & Software Engn Shanghai Peoples R China Shanghai Jiao Tong Univ Antai Coll Econ & Management Shanghai Peoples R China

ISBN: (纸本)9781538693414

The smart factory is characterized by the high value of industrial big data, the applications of IoT(Internet of Things) technologies and cloud computing technologies. Developing an industrial big data system is a comprehensive challenge job as it involves both software and hardware. Big data are pervasive in all the lifecycle of the industrial product. Thus, developing an industrial big data system is different from that of the traditional business process system. We noticed there is not much emphasis on the design concerns for industrial big data system from the product lifecycle view in the smart factory domain. In this paper, the challenges that industrial big data systems meet in the smart factory domain are discussed. The domain requirements are analyzed. The design concerns for industrial big data-based system are abstracted from the product lifecycle view. The design concerns are focused on the requirements from the acquirers, system builders, and other stakeholders of smart factory. Furthermore, we demonstrate the instantiation to define solutions about smart fault diagnosis for complex equipment based on big operation data including the architecture design, data management, data analysis, and services provider.

关键词： Industrial Big data Smart Factory Product Lifecycle Design Concerns Architecture

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Automatically identifying known software problems

Automatically identifying known software problems

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IEEE 23rd international conference on data engineering Workshop

作者： Modani, Natwar Gupta, Rajeev Lohman, Guy Syeda-Mahmood, Tanveer Mignet, Laurent IBM India Res Lab Block 1IIT Delhi Campus New Delhi India IBM Almaden Res Ctr San Jose CA 95120 USA

ISBN: (纸本)9781424408313

Re-occurrence of the same problem is very common in many large software products. By matching the symptoms of a new problem to those in a database of known problems, automated diagnosis and even self-healing for re-occurrences can be (partially) realized. This paper exploits function call stacks as highly structured symptoms of a certain class of problems, including crashes, hangs, and traps. We propose and evaluate algorithms for efficiently and accurately matching call stacks by a weighted metric of the similarity of their function names, after first removing redundant recursion and uninformative (poor discriminator) functions from those stacks. We also describe a new indexing scheme to speed queries to the repository of known problems, without compromising the quality of matches returned Experiments conducted using call stacks from actual product problem reports demonstrate the improved accuracy (both precision and recall) resulting from our new stack-matching algorithms and removal of uninformative or redundant function names, as well as the performance and scalability improvements realized by indexing call stacks. We also discuss how call-stack matching can be used in both self-managing (or autonomic systems) and human "help desk" applications.

关键词： Indexing (of information)

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The right algorithm at the right time: Comparing data flow analysis algorithms for finite state verification 23

The right algorithm at the right time: Comparing data flow a...

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23rd international conference on software engineering (ICSE 2001)

作者： Cobleigh, JM Clarke, LA Osterweil, LJ Univ Massachusetts Dept Comp Sci Lab Adv Software Engn Res Amherst MA 01003 USA

ISBN: (纸本)0769510507

Finite state verification is emerging as an important technology for proving properties about software. In our experience, we have found that analysts have different expectations at different rimes. When an analyst is in an exploratory mode, initially formulating and verifying properties, analyses usually find inconsistencies because of flaws in the properties or in the software artifacts being analyzed. Once an inconsistency is found, the analyst begins to operate in a fault finding mode, during which meaningful counter example traces are needed to help determine the cause of the inconsistency. Eventually systems become relatively stable, but still require re-verification as evolution occurs. During such periods, the analyst is operating in a maintenance mode and would expect re-verification to usually report consistent results. Although it could be that one algorithm suits all three of these modes of use, the hypothesis explored here is that each would be best served by an algorithm optimized for the expectations of the analyst.

关键词： data flow analysis

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BugMiner: software reliability analysis via data mining of bug reports

BugMiner: Software reliability analysis via data mining of b...

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SEKE 2011 - Proceedings of the 23rd international conference on software engineering and Knowledge engineering

作者： Wu, Leon Xie, Boyi Kaiser, Gail Passonneau, Rebecca Department of Computer Science Columbia University New York NY 10027 United States

ISBN: (纸本)1891706292

software bugs reported by human users and automatic error reporting software are often stored in some bug tracking tools (e.g., Bugzilia and Debbugs). These accumulated bug reports may contain valuable information that could be used to improve the quality of the bug reporting, reduce the quality assurance effort and cost, analyze software reliability, and predict future bug report trend. In this paper, we present BugMiner, a tool that is able to derive useful information from historic bug report database using data mining, use these information to do completion check and redundancy check on a new or given bug report, and to estimate the bug report trend using statistical analysis. Our empirical studies of the tool using several real-world bug report repositories show that it is effective, easy to implement, and has relatively high accuracy despite low quality data.

关键词： software reliability

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An empirical study of global software development: Distance and speed 23

An empirical study of global software development: Distance ...

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23rd international conference on software engineering (ICSE 2001)

作者： Herbsleb, JD Mockus, A Finholt, TA Grinter, RE Bell Labs Lucent Technol Naperville IL 60566 USA

ISBN: (纸本)0769510507

Global software development is rapidly becoming the norm for technology companies. Previous qualitative research suggests that multi-site development may increase development cycle time. We use both survey data and data from the source code change management system to model the extent of delay in a multi-site software development organization, and explore several possible mechanisms for this delay. We also measure differences in same-site and cross-site communication patterns, and analyze the relationship of these variables to delay. Our results show that compared to same-site work, cross-site work takes much longer, and requires more people for work of equal size and complexity. We also report a strong relationship between delay in cross-site work and the degree to which remote colleagues are perceived to help out when workloads are heavy. We discuss implications of our findings for collaboration technology for distributed software development.

关键词： global collaboration software development delay speed awareness informal communication

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Control theory: a foundational technique for self managing databases

Control theory: a foundational technique for self managing d...

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IEEE 23rd international conference on data engineering Workshop

作者： Lightstone, Sam S. Surendra, Maheswaran Dia, Yixin Parekh, Sujay Hellerstein, Joseph L. Rose, Kevin Storm, Adam J. Garcia-Arellano, Christian IBM Toronto Software Lab Toronto ON Canada IBM TJ Watson Res Lab Yorktown Hts NY 10598 USA Microsoft Developer Div Redmond WA USA

ISBN: (纸本)9781424408313

Control theory is a well established discipline that has emerged from aeronautical, electrical, and mechanical engineering to provide a formal approach to building robust systems. While similar robustness concerns exist in database management systems, control theory is rarely used due to the lack of canonical control models and a dearth of control theory expertise among database researchers. We discuss our experience with using control theory to build self managing databases, showing experimental results, discussing pitfalls and limitations, and contrasting formal models against with feedback loops. While our experience indicates that control theory is a good paradigm for database self management, control theory should be used judiciously since its techniques are not suited to all problems in database administration.

关键词： database systems

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An empirical study of software metrics selection using Support Vector Machine

An empirical study of software metrics selection using Suppo...

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SEKE 2011 - Proceedings of the 23rd international conference on software engineering and Knowledge engineering

作者： Wang, Huanjing Khoshgoftaar, Taghi M. Napolitano, Amri Western Kentucky University Bowling Green KY 42101 United States Florida Atlantic University Boca Raton FL 33431 United States

ISBN: (纸本)1891706292

The objective of feature selection is to identify irrelevant and redundant features, which can then be discarded from the analysis. Reducing the number of metrics (features) in a data set can lead to faster software quality model training and improved classifier performance. In this study we focus on feature ranking using linear Support Vector Machines (SVM) which is implemented in WEKA. The contribution of this study is to provide an extensive empirical evaluation of SVM rankers built from unbalanced data. Should the features be removed at each iteration? What should the recommended value be for the tolerance parameter? We address these and other related issues in this work.

关键词： Support vector machines

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From Things' Modeling Language (ThingML) to Things' Machine Learning (ThingML2) 20

From Things' Modeling Language (ThingML) to Things' Machine ...

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23rd ACM/IEEE international conference on Model Driven engineering Languages and Systems (MODELS)

作者： Moin, Armin Roessler, Stephan Sayih, Marouane Guennemann, Stephan Tech Univ Munich Munich Germany Software AG Munich Germany

ISBN: (纸本)9781450381352

In this paper, we illustrate how to enhance an existing state-of-the-art modeling language and tool for the Internet of Things (IoT), called ThingML, to support machine learning on the modeling level. To this aim, we extend the Domain-Specific Language (DSL) of ThingML, as well as its code generation framework. Our DSL allows one to define things, which are in charge of carrying out data analytics. Further, our code generators can automatically produce the complete implementation in Java and Python. The generated Python code is responsible for data analytics and employs APIs of machine learning libraries, such as Keras, Tensorflow and Scikit Learn. Our prototype is available as open source software on Github.

关键词： domain-specific modeling machine learning internet of things

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Multiple fault localization with data mining

Multiple fault localization with data mining

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SEKE 2011 - Proceedings of the 23rd international conference on software engineering and Knowledge engineering

作者： Cellier, Peggy Ducassé, Mireille Ferré, Sébastien Ridoux, Olivier IRISA INSA of Rennes 1 Campus Beaulieu 35042 Rennes Cedex France

ISBN: (纸本)1891706292

We propose an interactive fault localization method based on two data mining techniques, formal concept analysis and association rules. A lattice formalizes the partial ordering and the dependencies between the sets of program elements (e.g., lines) that are most likely to lead to program execution failures. The paper provides an algorithm to traverse that lattice starting from the most suspect places. The main contribution is that the algorithm is able to deal with any number of faults within a single execution of a test suite. In addition, a stopping criterion independent of the number of faults is provided.

关键词： Formal concept analysis

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PROCEEDINGS - IEEE COMPUTER SOCIETY international conference, 23rd FALL COMPCON 81: PRODUCTIVITY AN URGENT PRIORITY, 1981.

PROCEEDINGS - IEEE COMPUTER SOCIETY INTERNATIONAL CONFERENCE...

引用

Proc IEEE Comput Soc Int Conf 23rd, FALL COMPCON 81, Prod on Urgent Priority, Sep 15-17 1981

作者： Anon

Proceedings includes 53 papers (4 appear in abstract form only) presented in 25 sessions dealing with various aspects of productivity and its associated measures, human factors quality assurance, experience with tools, computer software and hardware, education, mathematical models, data base systems, standards, tool evaluation, management, office automation, the role played by the US Dept of Defense, software product quality as well as computer architecture. Topics covered include: programming languages, integrated circuits, image processing, industrial engineering and hierarchical control. Technical and professional papers from this conference are indexed with the conference code no. 00118 in the Ei engineering Meetings (TM) database produced by engineering Information, Inc.

关键词： Computer software

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