Dear Friends,

            The scientific method evolved for centuries and comprises of comprehensive mechanisms for testing, validation or correction of any theory, axiomatic assumption/belief or hypothesis. The researchers of sciences use scientific method for acquiring and accumulating objective Bok (Body of Knowledge) for each discipline/field, where the scientific method is elaborately explained in this wiki: https://en.wikipedia.org/wiki/Scientific_method

            The scientific method comprises of powerful mechanisms for validation and correction such as falsifiability:  https://en.wikipedia.org/wiki/Falsifiability. Such mechanisms for correction or validation are extremely valuable for gaining deeper and deeper insights and wisdom about the ultimate objective reality. Any accepted theory can be falsified anytime, if and when new evidence is discovered. This kind of corrective mechanisms are essential part of the scientific method.

            There is competition between researchers, relentless efforts to advance each of the (scientific or engineering) disciplines, and using/having mechanisms for validation, whose test every theory must withstand or fail (not only to be accepted into the BoK but also survive, if and when a potential anomaly is discovered). This kind of mechanisms would expose accepted theories or published conclusions that are result of sloppiness, bad luck and even fraud; and swept away by the advances of the field. In fact, rigorous mechanisms for validation or correction are extremely valuable and indispensable integral part, because researchers gain more wisdom and deeper insights from systematic investigation, causes for failures and exposing such flawed theories.

            The researchers of mathematics have comprehensive mechanisms for testing, validation or correction of any theory or assumption (or hypothesis). For example, researchers of mathematics (or logic) rely on set of axioms to build axiomatic systems. If there is an error in any of the axioms, the research results lead to contradictions or inconsistencies. The axioms are corrected or replaced to eliminate contradictions or inconsistencies. Even of the contradictions may not detect the flawed axiom, the contradictions are a clear indication of a flaw in one or more of the axioms (or theories or hypothesis).

            Mathematical methods (or logic) have in-built mechanisms for detecting flawed axiomatic assumptions, theories or hypothesis. For example, if an axiom is flawed, applying series of steps (that are strictly in complacence with established mathematical methods) by relying on such flawed axiom sooner or later leads to glaring contradiction or unacceptable inconsistence (e.g. such as 0 = 1). The flawed axiom can be detected by retracing the steps (by making sure each step is correct and strictly in complacence with established mathematical methods), which certainly leads to the source of the contradiction or inconsistence. This knowledge and insights are used to make necessary corrections or discord the flawed axiom.

            Computer science can never be a real science and software engineering can never be a real engineering, without mechanisms for correction or validation. How do we know the validity of each of the accepted theories or published conclusions (e.g. definitions for components, CBD or neural networks) in the BoK (Body of Knowledge) for computers science and/or software engineering? If they are flawed (e.g. having many anomalies) how can we correct them?

            Unfortunately, researchers of computer science (software) made no effort to device such corrective mechanisms, even in cases where such corrective mechanisms are readily available. My years of effort to propose objective facts and mechanisms for correction or validation have been not only ignored but also I have been snubbed and insulted. Each and every anomaly or contradiction is snubbed by using baseless or unsubstantiated excuses that software is different/unique.

            Isn't fraud, if mechanisms for correction or validation are ignored even when such mechanisms for correction or validation are available (or proposed)? For example, no error (e.g. in axiom, theory or hypothesis) can ever be detected, if there are no mechanisms for correction or validation (e.g. refuse to use such mechanisms, even when available or clear proof is provided). If any discipline that is not using (by choice/ignorance or it is impossible to use) scientific methods, it is a Pseudoscience: https://en.wikipedia.org/wiki/Pseudoscience

            Many soft sciences (https://en.wikipedia.org/wiki/Hard_and_soft_science) try to use scientific methods, even if it is not possible to strictly conform to the scientific rigor. It may be impossible to strictly follow methods for validation in certain disciplines. Isn't it fraud, if researchers deliberately refuse to use any methods for validation, even such methods are available (e.g. proposed) and possible to gain valuable knowledge for substantial advancement of the discipline?

            The difference between soft-sciences and hard-sciences is, the former deals with subjective reality, while the later deals with objective reality – But both try to use scientific methods to their best of their ability. But researchers of a pseudoscience or fake science refuse to use (or deliberately ignore) any corrective mechanism, even when such mechanisms are available (or demonstrated). This makes computer science (software) a fake science (engineering). Isn’t it fraud?

            Software researchers invested nearly 50 years of efforts on CBSD by relying on untested definitions for software components. If the definitions are wrong, their research effort has been progressing in wrong path and most of this effort could only create retrograde motions and epicycles of software engineering. For example, the nature and true essence of CBD for physical products is objective reality (without any room for doubt or ambiguity). The essential properties for physical components is objective reality. The knowledge of such objective facts provide irrefutable methods or mechanism for validation or correction. Using such methods for validation exposes root cause for infamous software crisis, which can be solved by eliminating the causes using methods for correction.

Best Regards,

Raju Chiluvuri

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