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Large-scale software systems like Amazon and healthcare.gov are used by thousands or millions of people every day. To ensure the quality of these systems, load testing is a required testing procedure in addition to the conventional functional testing techniques like unit and system integration testing. One of the important requirements of load testing is to create a field-like test environment. Unfortunately,...
Software testing is an essential activity in software development process that has been widely used as a means of achieving software reliability and quality. Software practitioners rely on test coverage to decide whether software under test has achieved an acceptable level of reliability and can be released. The researchers in the field of software testing focus on defining meaningful test coverage...
This paper presents a novel reverse engineering technique for obtaining real-life event logs from distributed systems. This allows us to analyze the operational processes of software systems under real-life conditions, and use process mining techniques to obtain precise and formal models. Hence, the work can be positioned in-between reverse engineering and process mining. We present a formal definition,...
Testing is critical for testers to verify embedded real-time operating system's (RTOS) design and find run time problem. Current testing methods for RTOS are mainly based on manual measurement. These methods are inefficient and error-prone. State machine based log analysis need a state machine model for the operation at first. Then drive by system log messages, the state machine can under test itself...
Fourteen hundred rows by 53 columns of vendor cell acceptance data were processed though logistic regression using Insightful Corporation's Insightful Miner™ (IM) and SAS Institute Inc.'s SAS® Enterprise Miner (EM) to find any significant correlation between 52 test output parameters (independent variables) and the pass/fail outcome for each of the 1,400 battery cells tested. The goal was to find...
With the rapid development of information technology, web-based teaching system emerges, and is wildly applied in distance education, but at present the model of web-based teaching system is single, can not show the equity of education, and improve the quality of network-education, so this text through introducing that XML and Web mining technology will be used in the Distance Learning System, proposes...
To overcome the shortages of the existing financial prediction models such as strict hypothesis, poor generalization ability, low prediction accuracy and low learning rate etc., a new early warning model of financial crisis have established for listed company using Extreme Learning Machine. From five dimensions of solvency, operating-ability, profitability, cash-ability and grow-ability, fifteen financial...
In order to preprocess the questionnaire data, the thoughts of the KDD and some nodes of the Clementine data mining software package are employed in a flexible way and the existing information are made full use of to build the combined classification data mining Model.
This paper proposes a method based on generation model for sentiment analysis and topic identification in texts. Firstly sentiment and topic of training texts are labeled by hand and sentiment models and topic models are established. Secondly compute the Kullback-Leibler divergence between a testing text and sentiment models in order to determine sentiment of the text. Similarly, calculate the Kullback-Leibler...
Service-oriented architecture (SOA) is a new architectural style for developing distributed business applications. Nowadays, those applications are realized through web services, which are later grouped as web service compositions. Web service compositions language, like the BPELWS 2.0 standard, are extensions of imperative programming languages. Additionally, it presents a challenge for traditional...
The enlarged anchor-root at the bottom for rock bolts is considered as the very helpful measure for improving the anti-pullout capacity of transmission tower foundation design in mountain area. It is a key problem for estimating the action of anchor-root at the bottom of full-length bonded rock bolts. Two types of bolts tests were carried out in field to study the action effect of anchor-root. Both...
In this paper, we propose a new diagnostic checking tool for fuzzy rule-based modelling of time series. Through the study of the residuals in the Lagrange multiplier testing framework we devise a hypothesis test which allows us to determine if there is some left autocorrelation in the error series. This is an important step towards a statistically sound modelling strategy for fuzzy rule-based models.
This paper presents the concept of using behavioral pattern mining to generate models for model-based testing. These patterns are mined from observations captured from execution scenarios of the system under test, and the different patterns are combined in order to provide a suitable higher level model for model-based testing. The concept is first discussed on a general level, providing a basis for...
Artificial searching swarm algorithm (ASSA) is a novel optimization algorithm. This paper presents the comparison results on the performance of the ASSA for solving constrained optimization problems. The penalty function method and non-parameter penalty method are applied to a set of constrained problem. The simulation results show that ASSA is an efficient algorithm for constrained optimization problems.
This paper presents a new method to generate test cased based on the Object Oriented Net (OON) model, notated with Z schemas. We can be benefited from this method in that: (1) Picturing the whole system while generating the test by the algorithm at the same time; (2) Instructing coding by the extended model.
According to literature review and a number of market research, there is an analysis about the characteristics of the domestic fragrance market. And then through the research on the consumption habits and attitudes, the result of qualitative and quantitative analysis based on the Logistic Model concludes the impact of the factors in four aspects on the willingness of purchasing perfume. According...
Unit testing is used by programmers to discover bugs with least cost. Static unit testing offers the minimum path coverage while dynamic unit testing detects control and data flow problems. In this paper, we develop a method to translate a program from "character" mode to "graph" mode, so that the tester can picture the existing code without losing the ability to generate tests...
Aspect oriented programming is a new paradigm it builds on the bases on object oriented approach. It aims at reduction of code and to provide higher cohesion. Testing aspect oriented programs may be more difficult than traditional ones, due to the large impact that aspects have on the static structure and dynamic behavior of the overall system. Aspects may be sources for failures due to new kinds...
While the rapid and growing diffusion of rich Internet applications (RIAs) with their enhanced interactive, responsive and dynamic behaviour is sharpening the distance between Web applications and desktop applications, at the same time, the maintenance community is experiencing the need for effective analysis approaches for understanding and modelling this behaviour adequately. This paper presents...
Testability is a software characteristic that aims at producing systems easy to test. A testability antipattern is a factor that could affect negatively the testability of software. In this paper we compare the antipatterns at source code level and at different abstraction levels, in order to understand at which point they are introduced during the development.
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