Capability maturity model
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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.
All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
Innovative Smart Grid Technologies
ICSE is the premier forum for researchers to present and discuss the most recent innovations,trends, outcomes, experiences, and challenges in the field of software engineering. The scopeis broad and includes all original and unpublished results of empirical, conceptual, experimental,and theoretical software engineering research.
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
Educational methods, technology, and programs; history of technology; impact of evolving research on education.
Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.
This IEEE Computer Society periodical covers the many rapidly emerging issues facing information technology professionals, developers, and managers of enterprise information systems. IT Professional's coverage areas include: Web services, Internet security, data management; enterprise architectures and infrastructures; organizing and utilizing data; instituting cross-functional systems; using IT for competitive breakthroughs; integrating systems and capitalizing on IT advances; emerging technologies like electronic ...
International Multi Topic Conference, 2002. Abstracts. INMIC 2002., 2002
2007 11th International Conference on Computer Supported Cooperative Work in Design, 2007
The requirement management process area in capability maturity model integration (CMMI) has already been proved to be the best guidance for practicing requirement management. However, many have claimed that introduction of the process area has at least two difficulties for software engineering: Not only that it is uneasy to trace and measure requirements, but also that it needs to prepare ...
2012 International Conference on Computer Science and Electronics Engineering, 2012
Agile method Scrum can effectively resolve numerous problems encountered when Capability Maturity Model Integration(CMMI) is implemented in small and medium software development organizations, but some special needs are hard to be satisfied. According to small and medium organizations' characteristic, the paper analyzes feasibility of combining Scrum and CMMI in depth. It is useful for organizations that build a new project ...
Proceedings IEEE Joint International Conference on Requirements Engineering, 2002
Extreme programming (XP) is an agile (lightweight) software development methodology and it becomes more and more popular. XP proposes many interesting practices, but it also has some weaknesses. From the software engineering point of view the most important issues are: maintenance problems resulting from very limited documentation (XP relies on code and test cases only), and lack of wider perspective ...
Network Resource Allocation: Technical Session 3 - HPSR 2020 Virtual Conference
Micro-Apps 2013: Rapid Simulation of Large Phased Array T/R Module Networks
Opportunities in Physical Computing driven by Analog Realization - Jennifer Hasler: 2016 International Conference on Rebooting Computing
"Big-p" Data: Large Number of Variables "P"
A perspective shift from Fuzzy logic to Neutrosophic Logic - Swati Aggarwal
IMS 2012 Microapps - Improve Microwave Circuit Design Flow Through Passive Model Yield and Sensitivity Analysis
CIRCUIT DESIGN USING FINFETS
Visit to the Lightning Lab: Zapping Model Airplanes with Over 2 Million Volts
IMS 2012 Microapps - Linking RF Design thru to Test: Intro to Model Extraction
IEEE HardTech Summit 2016: Challenges in Power Engineering
Maker Faire 2008: Babbage's Difference Engine No. 2 Replica
Piero P Bonissone - Lazy Meta-Learning - Creating Customized Model Ensembles on Demand
Future Computing Systems (FCS) to Support Understanding Capability - Sergey Serebryakov - ICRC San Mateo, 2019
The Josephson Effect: Brian Josephson Debates John Bardeen
A Model of Embodied Computation for Artificial Morphogenesis
IMS 2011 Microapps - A Multi-Level Conductor Surface Roughness Model
BSIM Spice Model Enables FinFET and UTB IC Design
Recurrent Neural Networks for System Identification, Forecasting and Control
Mobile Transport for 5G RAN - Rajesh Chundury - IEEE Sarnoff Symposium, 2019
The requirement management process area in capability maturity model integration (CMMI) has already been proved to be the best guidance for practicing requirement management. However, many have claimed that introduction of the process area has at least two difficulties for software engineering: Not only that it is uneasy to trace and measure requirements, but also that it needs to prepare and manage a numerous amount of inevitable documentations. This research implements shark-tooth software development model and scenario analysis of aspectual use case to develop a collaborative requirement management system to cohere with CMMI. A case study is given at the end of the paper to investigate the practical benefits of the system.
Agile method Scrum can effectively resolve numerous problems encountered when Capability Maturity Model Integration(CMMI) is implemented in small and medium software development organizations, but some special needs are hard to be satisfied. According to small and medium organizations' characteristic, the paper analyzes feasibility of combining Scrum and CMMI in depth. It is useful for organizations that build a new project management framework based on both CMMI and Scrum practices.
Extreme programming (XP) is an agile (lightweight) software development methodology and it becomes more and more popular. XP proposes many interesting practices, but it also has some weaknesses. From the software engineering point of view the most important issues are: maintenance problems resulting from very limited documentation (XP relies on code and test cases only), and lack of wider perspective of a system to be built. Moreover, XP assumes that there is only one customer representative. In many cases there are several representatives (each one with his own view of the system and different priorities) and then some XP practices should be modified. In the paper we assess XP from two points of view: the capability maturity model and the Sommerville-Sawyer model (1997). We also propose how to introduce documented requirements to XP, how to modify the planning game to allow many customer representatives and how to get a wider perspective of a system to be built at the beginning of the project lifecycle.
A correct outsourcing decision-making is the premise of a successful outsourcing. When making outsourcing decision, enterprise managers focus on inner factors, such as the firmpsilas core competency, financial status, technical status, organizational restructuring, and risk-sharing and so on. However, they neglect issues from the perspective of outsourcing market maturity. Thus it results in a limit decision. In this paper, an outsourcing market maturity model is proposed based on the analysis of outsourcing market. According to capability maturity model for software, an outsourcing decision framework is established, which provides a model on three key dimensions of core competency, asset specificity and market maturity.
The author describes CMMI (Capability Maturity Model Integration) and the emerging project methods which demonstrate the opportunities for process improvement gains open to organizations. The organization that changes from separated software and system engineering processes to a more unified approach will find itself far more suited to developing dynamically changing, software- intensive systems. Culture change is never easy, but the alternative is even less palatable.
Knowledge management has become the source of the core competitiveness of enterprises; it has attracted attention from academia and enterprises. More and more domestic and foreign enterprises begin to implement knowledge management. Knowledge Management Maturity Model is used to help organizations evaluate and improve the level of knowledge management as a tool. Combined with industry life cycle theory, this paper used the Analytic Hierarchy Process and fuzzy evaluation method to determine Knowledge Management Maturity grade in the different stages of the industry life cycle and clarified the key practical activities. This provided guidance for enterprises to improve the level of knowledge management, and finally it explored the recycling chain of Knowledge Management Maturity Model.
The purpose of the Berkeley project management process maturity model and an associated assessment methodology is to help organizations and people accomplish higher and more sophisticated PM maturity by a systematic and incremental approach. It measures, locates, and compares an organization's current PM maturity level. The primary advantage of using this model and industries, whereas other maturity models have specific audiences like software development or new product development. The maturity model and assessment technique has already been used to benchmark PM practices and processes in 43 companies. With it, they have also identified relationships between levels of organizational effectiveness and actual project performance data. The model is continuously being refined to reflect advances in their PM knowledge. Some of the most recent improvements include evaluating replicability of project success, which is the focus of this paper and presentation.
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