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What are the various elements of data design?
i. Data object - The data objects are identified and relationship between various data objects can be shown using ERD or data dictionaries.
ii. Databases - Using software design model, the data models are translated into data structures and data bases at the request level.
iii. Data warehouses - At the business level useful information is identified from several databases and the data warehouses are formed.
Database Management Systems: These are essentially programming frameworks, and can offer good storage and retrieval systems. They are mainly intended for programmers to intera
Classify the below techniques into dynamic or static. i. Data Flow Analysis. ii. Use Case Testing. iii. Equivalence Partitioning. iv. Exploratory Testing. v. Inspec
The operational methods and processes used to achieve quality requirements.
A Software Requirements Specification (SRS) is a complete description of the behavior of the system to be developed. It includes a set of use cases, describing the interactions
In well-run projects, the mission of the test team is not merely to perform testing, but to help decrease the risk of product failure. Testers look for manifest problems in the pro
Testing method to satisfy coverage criteria which need that for each decision point, every possible branch [outcome] be implemented at least once. Contrast with testing, path; test
Q. Write short notes on Quick-fix Model? Quick-fix Model: This is the simplest model utilized for the maintenance of the software. In this model modification at the code level
An application which is under development. How would you develop a test case for it? When application is under development, Business Requirement Document is used as primary doc
Q. Explain Common coupling with example? Common coupling: General coupling is when two modules share the same global data (example a global variable). Changing of the shared
Use the Newton divided-di_erence method to construct interpolating polynomials of degree one, two, and three for the following data. Approximate f(0.18) using each of the polynomia
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