4 edition of 2005 11th International Symposium on Software Metrics (Metrics) found in the catalog.
2005 11th International Symposium on Software Metrics (Metrics)
International Symposium on Software Metr
by Institute of Electrical & Electronics Enginee
Written in English
|The Physical Object|
ESEM th International Symposium on Software Engineering & Measurement: Lund (Sweden) September , * Full Papers Deadline: Ma * Notification for Full Papers: * Short Papers and Posters Deadline: * Notification for Short Papers and Posters: J * Camera-ready papers due: J Applying Stopping Rules to Behavioral Model Testing,” 4th IEEE International Symposium on High Assurance System Engineering, Washington D.C., November, , J. Kim and T. Chen, “Integration of Multiple Features Using Back Propagation Neural Networks for Segmentation of Image Sequences,” International Conference on Image Science.
Cem Kaner & Walter P. Bond, “Software engineering metrics: What do they measure and how do we know?” 10th International Software Metrics Symposium (Metrics ), Chicago, IL, September , Pat McGee & Cem Kaner, “Experiments with high volume test automation.”. Proceedings of the 11th International Conference on Software Engineering, Pittsburg, PA, USA, May , IEEE Computer Society / ACM Press , ISBN .
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Austin, TX, March "Mondrix: Memory Isolation for Linux using Mondriaan Memory Protection" Emmett Witchel, Junghwan Rhee, Krste Asanovic 20th ACM Symposium on Operating Systems Principles (SOSP), Brighton, UK, October esem The objective of the International Symposium on Empirical Software Engineering and Measurement (ESEM) is to provide a forum where researchers, practitioners, and educators can report and discuss the most recent research results, innovations, trends, experiences, and concerns in the field of empirical software engineering and metrics.
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Get this from a library. Software Metrics, 11th IEEE International Symposium. Get this from a library. Software Metrics, 11th IEEE International Symposium.
[Institute of Electrical and Electronics Engineers;]. In order to compute metrics automatically, these must be implemented as software programs. As metrics become increasingly complex, implementing them using imperative and interrogative programming is oftentimes cumbersome.
Consequently, their. 11th IEEE International Software Metrics Symposium (METRICS'05) > c1 Abstract To following topics are dealt with: software metrics; cost estimation; software architectures; measurement-based decision making; quality assurance; product assessment; process improvement; education; open source software projects; data mining; software repositories.
Software Metrics (Metrics ), 8th IEEE Symposium on [International Software Metrics Symposium] on *FREE* shipping on qualifying offers. Software Metrics (Metrics ). Linos P, Lucas W, Myers S and Maier E A metrics tool for multi-language software Proceedings of the 11th IASTED International Conference on Software Engineering and Applications, () Andersson C and Runeson P () A Replicated Quantitative Analysis of Fault Distributions in Complex Software Systems, IEEE Transactions on Software.
Collaborative Development Group Laboratorio di Ricerca per la Collaborazione in Rete. Dipartimento di Informatica, Università degli Studi di Bari, 6 piano. Research activities at COLLAB lie at the intersection of Software Engineering, Affective Computing and Social Computing through the lens of Data Science, aiming at advancing research and practice on how teams and communities collaborate.
A comparative study of data mining tools and techniques for mining software repositories has been presented. G., Cerulo, L.: Impact analysis by mining software and change request repositories. In: 11th IEEE International, Symposium on Software Metrics ( Data Mining Tools and Techniques for Mining Software Repositories: A Systematic Cited by: 4.
A metrics suite for measuring reusability of software components. In: Proceedings of the Ninth International of Software Metrics Symposium, pp. – IEEE () Google ScholarCited by: 7. Activities (Partial list) Professor Emeritus, Computer Science and Institute for Advanced Computer Studies.
Senior Research Fellow, Fraunhofer Center Maryland, Chief Scientist, ; co-Director, Board of Directors, National Capital Area Skeptics.
(Previously, president, treasurer, secretary ). The Clients' Impact on Effort Estimation Accuracy in Software Development Projects Found in: 11th IEEE International Software Metrics Symposium (METRICS'05) By Stein Grimstad, Magne Jorgensen, Kjetil Molokken-Ostvold Issue Date:September pp.
3 This paper focuses on the clients' impact on estimation accuracy in software development projects. The paper reports on an ongoing investigation into software productivity and its influencing factors. Analysis of a data set containing project management of a large multinational company.
The data set contains tables holding information about more than closed projects collected since Due to incomplete data only closed projects could be used for the investigation.
7th IEEE International Software Metrics Symposium (METRICS ), AprilLondon, England, UK. IEEE Computer SocietyISBN The Journal of Modern Project Management Article Tools.
Print this article. Indexing metadata. How to cite item. Russo, B., & Succi, G. Managing uncertainty in requirements: A survey in documentation-driven and agile companies, 11th IEEE International Software Metrics Symposium, p.
11th IEEE International Software Metrics Author: Itai Lishner, Avraham Shtub. Application discovery and understanding (ADU) is the process of automatically analyzing artifacts of a software application and determining metadata structures associated with the application in the form of lists of data elements and business relationships discovered between this application and a central metadata registry is then stored in the metadata registry itself.
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.
IEEE Computer Society: 7th International Software Metrics Symposium, (Metrics) (), IEEE Computer Society, pp.
Pfahl, D., Ruhe, G.: System Dynamics as an Enabling Technology for Learning in Software Organisations. 13th International Conference on Software Engineering and Knowledge Engineering (SEKE) (), Citeseer, pp. ESEM: Locations and Dates: General Chairs: Program Chairs: 1st ESEM Madrid, Spain SeptemberNatalia Juristo, Universidad Politécnica de Madrid, Spain: Carolyn Seaman, University of Maryland, Baltimore County, USA and Sira Vegas, Universidad Politécnica de Madrid, Spain: The first symposium after the merger of ISESE and Metrics.
Butterflies: A Visual Approach to Characterize Packages, Ducasse, Lanza and Ponisio, in Proceedings of the 11th IEEE International Software Metrics Symposium (Metrics 05), Como, Italy, September XML Patterns, Ponisio and Rossi, in Proceedings of Pattern Languages of Programs (PLoP ), Allerton Park, Monticello, Illinois, USA, September.
The Constructive Cost Model (COCOMO) is an procedural software cost estimation model developed by Barry W. Boehm. The model uses a basic regression formula with parameters that are derived from historical project data and current as well as future project characteristics.
G. Calikli, A. Bener, T. Aytac and O. Bozcan “Towards a Metric Suite Proposal to Quantify Confirmation Biases of Developers ”, International Symposium on Empirical Software Engineering and Measurement (ESEM ), Industry Track (ESEM ), Baltimore, Maryland, USA, OctoberISO/IECSoftware Engineering – NESMA functional size measurement method version – Definitions and counting guidelines for the application of Function Point Analysis, International Organization for Standardization () Google ScholarCited by: 6.M.
Auer, B. Graser, S. Biffl, A Survey on the Fitness of Commercial Software Metric Tools for Service in Heterogeneous Environments: Common Pitfalls, Proceedings of the 9th IEEE International Software Metrics Symposium (METRICS ), Sydney, September, H.
Karner, M. Auer, C. W. Ueberhuber, Multiply-Add Optimized FFT Kernels, Math.