Trade-offs between White Box and Black Box Predictive Solutions

The white box is computer hardware, without having strong goodwill. The term also relates to the production of PCs that began in the second generation. White-box is a simple model like regression and decision trees which predictive capability of interactions. They could interpret easily.

STRENGTHS OF WHITE-BOX

·         The test could be started even  GUI  is not ready.

·         Detect an accurate method to compile the application.

·         All functions are tested before the application is processed.

·         It helps to improve the stability of the cases.

·         It identifies that programs are smoothly executed or not.

·         It detects all errors hidden in different codes.

·         It removes all extra lines which are not required by the program.

·         While preparing cases, it is easy to point out input and output data (Chow, Eisen and Johnson).

WEAKNESSES OF WHITE-BOX

·         As it is not possible for the examiner to detect all minor errors, so this could result in the failure of software.

·         Developing of the case is much time taking.

·         Difficult method to test the applications.

·         White box technique is not suitable if the application is large.

·         If any change required by any application, all criteria tested again.

Trade offs BLACK-BOX

Black-box models are complicated to provide accuracy. They are hard to understand and its predictions of the model are not easy that could be interacted. It is used to check the functionality of the software without knowing its basic structure.

STRENGTHS OF BLACK-BOX

·         Designer and model tester work independently so results are mostly unbiased.

·         Tester feels no pressure on specific language to check the reliability of an application.

·         Vague contradictions easily specified.

·         User-friendly.

·         Cases could be easily designed after the completion of the task (Ljung).

WEAKNESSES OF BLACK-BOX

·         The test could be reduced if operated by black-box software.

·         Cases are tough to design without clarification.

·         Time taking, so many cases remain untested.

·         Results could be formed overestimated.

·         Difficult segments could not be tested (Comella-Dorda, Wallnau and Seacord).

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Conclusion on Trade-offs between White Box and Black Box Predictive Solutions

            There are many resources and methodology that improve the level of machine models. It is always better to compare different methodology to get the best one. It is not suitable to pick only one. It is always a better option to compare different techniques and implies one 

References of Trade-offs between White Box and Black Box Predictive Solutions

Chow, Stanley, et al. "White-box cryptography and an AES implementation." In International Workshop on Selected Areas in Cryptography (2002): 250-270.

Comella-Dorda, Santiago, et al. "A Survey of Black-Box Modernization Approaches for Information Systems." icsm (2000): 173-183.

Ljung, Lennart. "Black-box models from input-output measurements." In IMTC 2001. Proceedings of the 18th IEEE instrumentation and measurement technology conference. Rediscovering measurement in the age of informatics (Cat. No. 01CH 37188) 1 (2001): 138-146.