Software Testing – Types & Importance

-

 

What is Software Testing?

Software testing is a phase of software development life cycle. Basically Software testing process starts when other phases completed in software development. Software testing aims to check certain aspects of a software system (or a part of it). On the other hand, it is to test the working of software product matches the expected output in different environment or in different configurations.

Software testing is to ensure the features of the software is gathered and completed.

Importance of Software Testing?

A developer task is to convert the requirement into code, before handing over it to the client, make sure its bug free. Importance of Software can be define as the client or QA person making sure that the delivered software is the right software.

Significance of Software Testing:

Software in different industries e.g. medicals, air planes, banking are very crucial if a bug appears you are risking the lives. Consider the following example of Software testing.

The terminal in London (Bloomberg) crashed due to software glitch. Affected more than 300,000 traders on financial markets. It forced the government to postpone a 3bn pound debt sale.

In April 2015,

The customer satisfaction in software development can be gain by properly testing the software. A product must provide reliability, security and high performance. As a result software is time saving, cost effective and satisfactory.

Benefits of Software Testing:

The best benefit of software testing that "if we test the applications the n number of time and launch into the market then there will be the least probability that the probability that product fails". Here are some more benefits of software testing.

  • Reduced risk of failures(or incidents) once system are transferred to live operation.
  • Demonstrative proof that business requirements have been met.
  • Assurance that the system will function appropriately with existing legacy system where required and will integrate with other systems as necessary.

Verification is about are you making the product right whatever you are doing should work and perfectly work that is bug free.

https://www.youtube.com/watch?v=TYgekB9OC9E

Comments

Post a Comment

Popular posts from this blog

Data Consistency and Inconsistency - What is Difference

-
Image
  Data Consistency: Definition 1: Data consistency means that the changes made to the different occurrences of data should be controlled and managed in such a way that all the occurrences have the same value for any specific data item. Data inconsistency leads to a number of problems, including loss of information and incorrect results. In the database approach, it is controlled because data is shared and consistency is controlled and maintained. Data Consistency Definition 2: Data consistency meaning is the validity, accuracy and usability of related data. It ensures that each user observes a consistent(Same) view of the data, including changes made by the user’s own transactions and transactions of other users. Types of Data Consistency: Point in time consistency Transaction consistency Application consistency Data Inconsistncy: Data Inconsistency Definition: Data inconsistency meaning is that different versions of the same data appear in diffe
Read more

Cardinality in DBMS – max/minimum cardinality & examples

-
Image
  Logical Relationship in Tables: Database tables have a major advantage to bridge them with some logical relationship so to filter the records. These relationship allowed us to access one table data using another table records(via columns or rows). In other words logical filtration is called cardinality DBMS. Read Also: Relational Model in DBMS Definitions of Cardinality in DBMS: Definition 1: A number that represents, one instance of first entity(table) is related to how many instances of the second entity, is known as cardinality in dbms. Definition 2: Cardinality is a relationship or join/bridge between rows of  1 table to the rows of another table. via some column (e.g. User Table column {user_id} in another table Posts to filter the posts by user_id). Types of Cardinality in DBMS: There are three types of Cardinality in DBMS. one-to-one one-to-many many-to-one many-to-many Read Also: Degree of Relationship in DBMS one-to-one
Read more

Relational Model in DBMS

-
Image
  Relational Model (RM) represents the database as a collection of relationships. A relationship is nothing more than a table of values. Each row of the table represents a collection of related data values. These rows of the table denote a real-world entity or relationship. The table name and column names are useful for interpreting the meaning of the values in each row. Data are represented as a set of relationships. In the relational model, the data are stored as tables. However, the physical storage of data is independent of how data is organized logically. Some popular relational database management systems are: DB2 and Informix Dynamic Server – IBM Oracle and RDB – Oracle SQL Server and Access – Microsoft Concepts of relational model in DBMS Attribute: Each column in a table. Attributes are the properties that define a relationship. e.g. Student_Rollno, NAME, etc. Tables – In the Relational model the relationships are saved in table format. It is s
Read more