Objective
We believe industries developing software for embedded products to be characterised by medium scale volume products, where a few big customers have specific demands, and many small customers needs standardised solutions. When companies grows and becomes international to reach scale volume advantages, the administration of company wide development becomes complex in details, affecting the quality of the products. In order to respond to a highly competitive market, high quality has to be combined with low cost and fast customer response (new functions and error correction).
This experiment deals with the problem to define a flexible and distributed software production process. Change management is a fundamental activity in software engineering, vital to both efficiency and quality thus it will be the focus of this experiment. The scope of the experiment is to define a process that controls and automates (where appropriate) the administration of the software development result, in order to assure high quality, in spite of more complicated and flexible products and where the development is made in a distributed environment.
The experiment defines a combined configuration management (CM) & change control process that administrates distributed development of a variety of products using the same software base. A level of automation is proposed, based on available tools on the market. Experiences from the consequences of introducing the new CM process and the system progress/problem control (SPR) process to an existing development model and in working practice are analysed. A base for a software metrics program is described, and metrics are collected to evaluate the maturity change of software engineering for the underlying baseline project. Positive as well as negative experience from the experiment are described together with suggestions for further improvements.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology industrial relations automation
- natural sciences computer and information sciences software software development
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
721 68 VAESTERAS
Sweden
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.