Quantifying software validation: when to stop testing?

Knowing When to Stop

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...

Dialysis: when to start or when to stop?

Sir, There have been several recent discussions around the timing of initiation of dialysis [1,2]. There remains little scientific consensus on when to start and on which clinical and biochemical parameters we base this decision. In the broadest sense, dialysis should serve to decrease morbidity and/or mortality whilst maintaining or improving quality of life. It is almost assumed that renal re...

When Can Finite Testing Ensure Infinite Trustworthiness?

In this paper we contribute to the general philosophical‎ ‎question as to whether empirical testing can ever prove a physical law.‎ ‎Problems that lead to this question arise under several contexts‎, ‎and the ‎matter has been addressed by the likes of Bayes and Laplace‎. ‎After pointing‎ ‎out that a Bayesian approach is the proper way to address this problem‎, ‎we‎ ‎show that the answ...