In quality assurance programs, we want indicators of software quality, especially software correctness. The number of found defects during inspection and testing are often used as the basis for indicators of software correctness. However, there is a paradox in this approach, since the remaining defects is what impacts negatively on software correctness, not the found ones. In order to investigate the validity of using found defects or other product or process metrics as indicators of software correctness, a controlled case study is launched. 57 sets of 10 different programs from the PSP course are assessed using acceptance test suites for each program. In the analysis, the number of defects found during the acceptance test are compared to t...
Abstract—Defect prediction models are a well-known technique for identifying defect-prone files or p...
Using in-process metrics to determine the quality status of a software project under development is ...
Abstract. Suppose, you have thoroughly tested some application system. You have found some software ...
The area of software defects is not thoroughly studied in current research, even though it is estima...
Context. Quality assurance plays a vital role in the software engineering development process. It ca...
A well-known approach for identifying defect-prone parts of software in order to focus testing is to...
In today's competitive software market, customers expect quality products, and they gauge quali...
Testing is one of the most labor-intensive activities in software development life cycle and consume...
Software often constitutes a large share of today's products. To deliver a product with the level of...
This paper describes an empirical study to reveal factors influencing defect correction effort in so...
Quality of software products becomes more important. The goal of Dependable Software Engineering (DS...
AbstractOne of the essential objectives of the software engineering is to develop techniques and too...
Software inspections are effective ways to detect defects early in the development process. In this ...
There are two measures that have a strong influence on the outcomes of software projects: 1) Defect...
The most common techniques for detecting defects in software artifacts are inspection and testing. S...
Abstract—Defect prediction models are a well-known technique for identifying defect-prone files or p...
Using in-process metrics to determine the quality status of a software project under development is ...
Abstract. Suppose, you have thoroughly tested some application system. You have found some software ...
The area of software defects is not thoroughly studied in current research, even though it is estima...
Context. Quality assurance plays a vital role in the software engineering development process. It ca...
A well-known approach for identifying defect-prone parts of software in order to focus testing is to...
In today's competitive software market, customers expect quality products, and they gauge quali...
Testing is one of the most labor-intensive activities in software development life cycle and consume...
Software often constitutes a large share of today's products. To deliver a product with the level of...
This paper describes an empirical study to reveal factors influencing defect correction effort in so...
Quality of software products becomes more important. The goal of Dependable Software Engineering (DS...
AbstractOne of the essential objectives of the software engineering is to develop techniques and too...
Software inspections are effective ways to detect defects early in the development process. In this ...
There are two measures that have a strong influence on the outcomes of software projects: 1) Defect...
The most common techniques for detecting defects in software artifacts are inspection and testing. S...
Abstract—Defect prediction models are a well-known technique for identifying defect-prone files or p...
Using in-process metrics to determine the quality status of a software project under development is ...
Abstract. Suppose, you have thoroughly tested some application system. You have found some software ...