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An italian SME has developed a web platform instrument for the knowledge rebuilding of big, complex and heterogeneous software assets. This instrument allows to light up the software asset, providing objective information about the actual status of the software itself. It is a powerful tool for improving big-data software cleaning and modernization. The SME is looking for research, joint venture, services and commercial agreements with technical assistance, mainly in Europe but also outside.
The information technology departments of medium and big companies, through ordinary and episodic interventions, constantly need to maintain and implement their software assets (complex for technically heterogeneous and customized modifications) with stratified layers.
Chief information officers (CIOs) and people responsible for application assets are facing requests of maintanance and/or business strategic development towards continuous innovation, change of the technological scenarious enlarging the possibilities of reaching clients thanks to different means. (cloud, digital, mobile etc.). The software gives answer to different important questions about the applications improvments and adaptation with new fuctionalities instead of replacing it with new tools.
The proprietary service of knowledge rebuilding, giving to the CIOs the complete awareness of the impacts of the interventions that have to be implemented either for ordinary maintance and interventions or complex projects.
The knowledge rebuilding service of the italian SME is based on an integrated solution composed by software environment analyser manager (SEA manager) and knowledge sharing portal (KPS).
SEA manager is a software analyzer platform for the porting/re-engineering of applications. It allows to analyze automatically the source code of heterogeneous applications. The information extracted by sea manager are provided to the user through the web portal knowledge sharing portal (KPS). KPS is a knowledge management web portal. It allows to navigate the information automatically extracted by the software analyzed with SEA Manager. KPS also allows to integrate the information gathered into the portal with comments and documents, in “wiki” mode.
The application are focused for impact analysis, massive change, knowledge transfer, software & data migration, reverse engineering, data lineage, transformation of complex excel files in web applications. Moreover, it permits to valorize the company knowledge heritage and competences, to grant the increasing of company growth and innovation, to grant identifying better solutions, to give a boost to creativity, to allow and create new knowledge.
The main advantage of the knowledge rebuilding solution is the extreme velocity in the production of the software documentation. This fact permits to reduce costs for services of software documentation, access to a centralised platform for the knowledge of the software, and a fast training for the use of the web platform. An easy and high customisation of the research engine for the best solution selection is a further advantage and innovation. The main advantages with respect to other solutions are: the source code autogenerated is highly readable and maintainable. The autogenerated documentation can be compliant with the standard of the software quality of the customer. The customisation of the user interface will result is final documentation easily integrable with comments and external documents. Moreover, it is possible to integrate the results into the web portal with pre-existing data of other system. The versioning of the software documented is easy and permits a comparison between versions.
Important advantages are also high time-to-market and competitive economic advantage.
The solution has been tested and actually has already analyzed more than 100 million lines of codes.
The partners sought are private and public companies or universities. They could be active in finance, banking, industry, insurance and trading. Generally, they face with sectors where there are big software assets with high level of confidential requirements.
The partner sought should be proactive in acquiring information about the service described, in order to collaborate in the improvment of the service on his market with an effective approach.