When to stop testing software: economic approach

Knowing When to Stop

Interval Approach to Testing Software

The experience of many programmers shows that it is actually impossible to extract all the faults from a sophisticated software. Therefore it is necessary to estimate the time interval during which the remaining faults will not influence the program. The statistical models which are used to get such estimates are semi-heuristic and lack convincing theoretical explanation. In this paper, we cons...

When to Stop-and-Frisk

This project was intended to demonstrate the bias that machine learning algorithms may learn. We wanted to explore the impact bias has on these algorithms and explore the methods that help correct these biases. Given data about stop-and-frisks instances, we ran several different models on the data and maximized the accuracies achieved by these models. After tuning the hyper parameters of the mo...

Analysis Paralysis: when to stop?

Analysis of a system constitutes the most important aspect of the systems development life cycle.But it is also the most confusing and time consuming of all the stages.The critical question always remains: How much and till when to analyse? Ed Yourdon has called this phenomenon as Analysis Paralysis. In this paper, I suggest a model which can actually help in arriving at a satisfactory answer t...

Model Based Approach to Software Testing

Software testing is becoming more and more difficult task every day because in the current software engineering cycle the design and testing activities are separated, which leads to a situation where test cases are not in harmony with the actual application. One way to solve this problem is to take a model of the application into use, which can be, e.g., a user interface model and from which th...