Error guessing is an ad hoc approach, based on intuition and experience, to identify tests that are considered likely to expose errors. The basic idea is to make a list of possible errors or error-prone situations and then develop tests based on the list. What are the most common error-prone situations we have seen before? Defects’ histories are useful. There is a high probability that defects that have been there in the past are the kind that are going to be there in the future. Some items to try are: · empty or null lists/strings · zero instances/occurrences · blanks or null characters in strings · negative numbers One of the studies done by Myers (1979) states that the probability of errors remaining in the program is proportional to the number of errors that have been found so far. This alone provides a rich source of focus for productive error guessing.
Projects are broadly divided into two types of: 2 tier applications 3 tier applications CLIENT / SERVER TESTING This type of testing usually done for 2 tier applications (usually developed for LAN)Here we will be having front-end and backend. The application launched on front-end will be having forms and reports which will be monitoring and manipulating data E.g: applications developed in VB, VC++, Core Java, C, C++, D2K, PowerBuilder etc.,The backend for these applications would be MS Access, SQL Server, Oracle, Sybase, Mysql, Quadbase The tests performed on these types of applications would be- User interface testing- Manual support testing- Functionality testing- Compatibility testing & configuration testing- Intersystem testing WEB TESTING This is done for 3 tier applications (developed for Internet / intranet / xtranet)Here we will be having Browser, web server and DB server. The applications accessible in browser would be developed in HTML, DHTML, XML, JavaScript etc. (We can...
Comments