If you’ve ever had a hard time understanding your colleagues or other stakeholders when developing or delivering software, speaking in different “languages” or using the same terms while meaning completely opposite things, this material might be useful for you.
“If you can’t describe what you are doing as a process, you don’t know what you’re doing.” — Edwards Deming
DRY (an acronym for “Don’t repeat yourself”) is a principle of software development aimed at reducing repetition of software patterns, replacing it with abstractions or using data normalization to avoid redundancy. [Wikipedia]
https://medium.com/@v.grigoryevskiy/introducing-dryml-7d9e049ac91
AIFORSE Framework – Software Engineering Enterprise Processes Map (08/Jan/2019)
AIFORSE Framework (AIFORSE_xF) is a suite of best practices and standards that enables and utilizes artificial intelligence for effective and efficient software engineering.
It enables you to assess and optimize performance using a proven, data-oriented approach to operations and integration. The practical tools available in AIFORSE_xF help improve end-to-end management of services across complex environments.
AIFORSE_xF is aimed to improve agility in product development, solution delivery, and outsourcing Processes, resulting in increased margins, lower costs, and optimal customer experience. AIFORSE_xF is created and evolved by AIFORSE Community members.
AIFORSE_xF also includes adoption best practices to help companies implement and use the standards and management best practices to ensure ongoing conformance.
This is the high-level (L0) Map of all the main processes, related to production and delivery of software solutions by companies of a different type, size and specialization, independent on a software type, chosen methodologies and implementation practices. It can be used by both Product and Outsourcing Software Companies to align internally as well as with Customers, Partners, and Investors on the main Software Engineering related activities, which shall be planned, organized, run and managed.
The main Layers of the AIFORSE Framework Software Engineering Process Map, which are the most related to the Software Production Operations are:
They define the levels at which Organizations operate, and provide capabilities to synchronize the corresponding activities.
It combines Elements of lower level Layers (Products, Services, Resources) for a defined Customer, Timeline, Scope, and Budget.
It covers any Software with defined Users, Business Cases, and Functional Capabilities.
The Service Layer is responsible for any Operations (Manual or Automated), related to the creation or maintenance of Software (Design, Coding, Testing etc.).
It holds everything related to used or produced Resources (Logical or Physical), related to the creation, use or maintenance of Software (Workforce, Infrastructure, Artifacts etc.).
Start using the Map right now – self-check if all the operations are covered in your Company.
Click on the picture and download the file in high-resolution.
The next release will describe each element in more details and provide the definition of processes at the next (L1) Level of Decomposition.
AIFORSE Community invites everybody who is interested in the future of Software Engineering to attend a FREE Webinar.
At the Webinar you will learn:
Speaker: Valentin Grigoryevskiy, Founder of AIFORSE Community. Valentin is a software engineering professional, passionate about making software development smarter and more exciting. Valentin has an extensive experience in development and delivery of enterprise-grade software solutions globally as a Business Analyst and a Solution Architect.
Duration: 1 hour
Language: English
Recording:
It’s already 10 months passed since the last update of the AIFORSE Landscape — analytical report about the actual State of the Market for Solutions, which use AI to solve Software Engineering tasks.
We are happy to publish a new version of the AIOFRSE Landscape.
Read more: link
AIFORSE — [AI-FOR-SE] Artificial Intelligence (AI) for Software Engineering (SE)
Software Engineering
Apply Artificial Intelligence Methods to Software Engineering
Collaborate to apply Artificial Intelligence Methods for developing Advantageous Conditions to increase Intensity and Efficiency of Software Engineering
A New Era of Society Functioning
Create Conditions to facilitate the achievement of the following Goals:
Apply Artificial Intelligence to
Prepare Software Engineers to the changing world and make them able to drive these changes
Everybody, who is related to Software Engineering and/or Artificial Intelligence.
Also, people who are neither first nor second, but want to make the world better and still don’t know how (as this is a good way to start).