Knowledge Map for Unified Domain Analysis (KM-UDA) Volume 01 – Intelligence Technologies

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Problem space is the set of all problems and represents "What" are any domain's functional and non-functional requirements? And it is not a subset of the solution space. Knowledge Map for Unified Domain Analysis (KM-UDA) discovers all the truths (the functional and non-functional requirements) about any domain. The existing domain analysis techniques and domain experts are very good at identifying the tangible aspects of any discipline that considers the applications aspect of the analyzed field. KM-UDA forms the basis, core, and strong and unified foundation to understand any domain problem and its solution patterns. KM-UDA can create analysis based on the fundamental concepts of unification and stability. This book contains the following KM-UDA: 1. Knowledge Map of Stable Machine Learning (KM-SML) 2. Knowledge Map of Unified Deep Learning (KM-UDL) 3. Knowledge Map of Unified Black Chain (KM-UBC) 4. Knowledge Map of Stable Wearable Technology (KM-SWT) 5. Knowledge Map of Unified Smart Home (KM-SSH)
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Knowledge Map for Unified Domain Analysis (KM-UDA) Volume 02 – Software Lifecycle Stages

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Problem space is the set of all problems and represents "What" are any domain's functional and non-functional requirements? And it is not a subset of the solution space. Knowledge Map for Unified Domain Analysis (KM-UDA) discovers all the truths (the functional and non-functional requirements) about any domain. The existing domain analysis techniques and domain experts are very good at identifying the tangible aspects of any discipline that considers the applications aspect of the analyzed field. KM-UDA forms the basis, core, and strong and unified foundation to understand any domain problem and its solution patterns. KM-UDA can create an analysis based on the fundamental concepts of unification and stability. This book contains the following KM-UDA: 1. Knowledge Map of Unified Functional Requirements (KM-UFRs) or Problem Space Stable Analysis Patterns (PS-SAPs) 2. Knowledge Map of Unified Non-Functional Requirements (KM-UNFs) or Quality Factors Stable Analysis Patterns (QF-SAPs) 3. Knowledge Map of Stable Software/System Design (KM-SDPs) 4. Knowledge Map of Unified Software Architecture on Demand (KM-USA on-Demand) 5. Knowledge Map of Unified Software Testing or Software Immune Testing: Unified Software Engine (SIT-USE)
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Software Engineering in The Small.

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Over the past many years, software has become a vital component of almost every business and national economy. Virtually any product or service has become software enabled. As a result, organizations’ competitiveness largely depends on their ability to use the software as a competitive weapon. What makes the competitive landscape more complex is the kind of pressures organizations face in terms of time to market, new features, cost, and, of course, quality and reliability. Furthermore, organizations are finding it increasingly challenging to operate as convergence, discontinuity, and economic boundarylessness lead to the birth of a new breed of global customers. And any organization’s survival—let alone success—is therefore clearly becoming dependent on an ability to understand the characteristics of such international customers and serve them accordingly. In their quest for software excellence, organizations must rely increasingly on software engineering techniques and methodologies and rely on and refine their traditional business strategies. This book: 1. Extends four well-known CACM thinking (O=Object) Objective Software Engineering in the Small columns: I. Software Engineering in the Small II. Problems with Scalability III. Management in the Small IV. Process Improvement in the Small 2. Discuss the September/October 2000, IEEE Software Introduction: Software Engineering in the Small theme Issue 3. Comments and explains responses, 4. Answers many questions.
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Software Process Development

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The software/system process is the fundamental way of abstracting and implementing software/system functional and non-functional requirements, design, architectures, and software testing. Software process describes the steps required to abstract and develop some goal, usually unified skills. Software Processes transform textbook theories and method descriptions into actual action steps. It is essential to realize that processes are codified steps that describe a particular organization's way of achieving development goals. That means development processes cannot be acquired off the shelf but must be developed over time. Management must support the move to process-based development. The software process must be maintained when schedule pressures loom, or process costs initially slow some development phases. Development Processes are essential for innovation development teams, even in a well-organized group. Individuals will often perceive themselves as less skilled than before, and the routines they have established with others will undoubtedly change. Management must ensure that setting process-oriented development will allow team members to contribute positively. This book: 1. Extends four well-known CACM thinking (O=Object) Objective Software Process Development columns: I. Software Development Processes: The Necessary Evil II. Process Assessment: Considered Wasteful III. Surviving a Process Performance Crash IV. The Art of Managing Multiple Processes 2. Comments and explains responses, 3. Answers many questions. 4. Illustrates Software Development Process in three ways: Textual, Dataflow Diagram, and Activity Diagram.
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