While there are many excellent acceptance testing tools and frameworks available today, this paper presents an alternative approach, involving generating code from tests specified in a declarative tabular format within Excel spreadsheets. While this is a general approach, it is most applicable to difficultto-test situations. Two such situations are presented: one involving complex fixture setup...

We conducted a survey on Executable Acceptance Test Driven Development (or: Story Test Driven Development). The results show that there is often a substantial delay between defining an acceptance test and its first successful pass. Therefore, it becomes important for teams to easily be able to distinguish between tasks that were never tackled before and tasks that were already completed but who...

Executable acceptance testing allows both to specify customers’ expectations in the form of the tests and to compare those to actual results that the software produces. The results of an observational study identifying patterns in the use of the FIT acceptance testing framework are presented and the data on acceptance-test driven design is discussed.

Acceptance tests are usually created by a client after a part of a system is implemented. However, some methodologies propose the elaboration of test cases before implementing a system. This approach increases the probability of system implementation that fulfills requirements, but may be problematic for customers and testers. To allow acceptance testing in such conditions, we propose to define...

there are many situations for statistical process in which we have both random and vagueinformation. when uncertainty is due to fuzziness of information, fuzzy statistical control charts play animportant role in the monitoring process, because they simultaneously deal with both kinds of uncertainty.dealing with fuzzy characteristics using classical methods may cause the loss of information and ...

An XP customer needs to write and check acceptance tests. However, the format for defining the tests needs to be clear. Many acceptance test approaches use arcane formats which do not promote clarity for the customer, due to a conflict of interest between the complexities of automation and the needs of the customer. We discuss the evolution of acceptance tests to improve their clarity for the c...