Sharif Digital Repository

Software developers notice existence of faults by report of a fault in issue tracking systems or a failure in software tests. Then they try to locate the bug and understand the problem. Early detection of fault results in saving time and money and facilitates debugging process. Prediction models can be built and used easily by modern statistical tools. Software metrics are the most important part of prediction models. Therefore higher performance in models can be achieved using new and effective metrics. In this study, process metrics and metrics that built base on mutation analysis used and resulting models evaluated. In addition to using process metrics with mutation metrics, two group of... 

The test suite effectiveness concerns the ability of test suites to reveal faults. Mutation testing is a de facto standard to assess the test suite effectiveness. However, mutation testing is a time-consuming process. Over the years, researchers have proposed two kinds of approaches. The first category is related to code coverage criteria and assess the total test suite effectiveness. The second is known as Predictive Mutation Testing (PMT). The suggested approach is probabilistic, being in different levels of abstraction (macro and micro). First, in the macro level, there is a code coverage criterion that not only does outperform existing code coverage but also does not have a statistically... 

In the recent years, developing and using android applications has experienced a huge expansion. Due to the novelity of these applications and their environment for developers, we can find so many problems in their perfomance. At the same time as spread of developing these applications, new automatic and non-automatic methods are introduced for testing them. Usually mutation testing methods are used to evaluate new suggested software testing methods, so some rigorous and effective methods of mutation testing for android applications are needed too. Today, some primary methods are suggested for generating mutants of android applications which are not mature yet and have many defects. The goal... 

Mutation testing is known to be one of the best strategies to improve the quality of test suites, consequently the quality of the software. However, some challenges make mutaton testing unpractical. One of the main challenges confronting mutation testing is that it demands exhustive computation and is time consuming because of the large number of mutants that need to be compiled and executed on the test cases of the test suite. Many researches have been conducted to reduce the number of mutants without losing the main characteristics of the all possible mutants. Most of these researches select the mutants without considering the characteristics of the test suite, therefore the reduced set of... 

In recent years, the user interface of web-based applications has become more and more complicated. Various technologies, architectures, and tools are being used to create a modern user interface. Users interact directly with the user interface, so its functionality has a significant impact on their satisfaction and it is required to design special test suites for the user interface. Furthermore, we need a method to measure the quality and effectiveness of test suites. An effective test suite is a test suite which is able to detect real faults. But this definition is ambiguous, and hence, not practical. A method called Mutation Testing solves this problem and instead of real faults, uses... 

This thesis is concentrated on some subjects on population genetics. In the rst part we give formulae including the expectation and variance of the height and the length of the ancestral recombination graph (ARG) and the expectation and variance of the number of recombination events and we show that the expectation of the length of the ARG is a linear combination of the expectation of the length of Kingman's coalescent and the expectation of the height of the ARG. Also we show give a relation between the expectation of the ARG and the expectation of the number of recombination events. At the end of this part we show that the ARG comes down from innity in the sense that we can dene it with X0... 

Genetic heterogeneity within a tumor, which occurs during cancer evolution, is one of the reasons for treatment failure and increased chances of drug resistance. Cancer cells initially derive from a mutated progenitor cell, resulting in shared mutated genes. Throughout the course of tumor formation and progression, the occurrence of new mutations is possible, leading to the generation of cancer cells with various mutated genes. An appropriate approach is to identify the sequence of mutations that have occurred in the tumor, which can be inferred from single-cell sequencing data. Singlecell data provides valuable information about branching events in the evolution of a cancerous tumor. In... 

Debugging programs is a time-consuming and error-prone activity. So far, much research has tried to repair the programs automatically. Many of them try to change the location of the fault for a faulty program that fails at least one of its test cases so that all cases in the test suite pass. However, in real projects, the test suite is usually not enough, and the methods that aim to pass the test suite, often lead to the production of incorrect repairs, which is known as overfitting or weak test suite. In this regard, attention to methods based on program specification and the use of static code analysis have shown promising results. In this thesis, a method is presented that recommends... 

Genome mutations whose effects are not specified pose one of the challenges in identifying genetic diseases. Utilizing wet lab tests to detect the pathogenicity of variants can be time-consuming and fiscally expensive. A rapid and cost-effective solution to this problem is the use of machine learning-based variant effect predictors, which have the ability to determine whether a mutation is pathogenic or not. The objective of this research is to predict the pathogenicity of genome variations. The proposed model exclusively utilizes the protein sequence as its input feature and does not have access to other protein features. The data used to construct the model comprises mutations with...