Test suite augmentation techniques are used in regression testing to identify code elements affected by changes and generate test cases cover those elements. Our preliminary work suggests that several factors influence the cost effectiveness of techniques. These include order which considered while generating cases, manner existing newly generated used, algorithm cases. In this work, we present results an empirical study examining these factors, considering two case generation algorithms...

A novel energy management system to improve the efficiency of renewable and storage by scheduling various types household appliances is developed. The end users schedule optimally taking into account maximum utility (a measure satisfaction level user’s electricity consumption) as well minimum cost competitive objectives. random disturbance (reflecting an uncertainty) introduced describe indeterminate amount produced from sources at adjacent slots. By applying probability theory, uncertain...

As software evolves, engineers use regression testing to evaluate its fitness for release. Such typically begins with existing test cases, and many techniques have been proposed reusing these cost-effectively. After however, it is also important consider code or behavior that has not exercised by cases generate new validate these. This process known as suite augmentation. In this paper we present a directed augmentation technique, utilizes results from reuse of together an incremental...

Software Product Line (SPL) engineering offers several advantages in the development of families software products. There is still a need, however, to generate test cases for individual products product lines more efficiently. In this paper we propose an approach, CONTESA, generating SPLs using suite augmentation. Instead independently, our approach generates new order that allows it build on created tested earlier. work, use genetic algorithm cases, targeting branches not yet covered each...

Test suite augmentation techniques are used in regression testing to help engineers identify code elements affected by changes, and generate test cases cover those elements. Researchers have created various approaches elements, but only recently they considered integrating, with this task, for generating cases. In paper we explore the use of genetic algorithms augmentation. We several factors that impact effectiveness approach, present results a case study exploring effects one these...

Test suite augmentation techniques are used in regression testing to identify code elements affected by changes and generate test cases cover those elements. In previous work, we studied two approaches augmentation, one using a concolic case generation algorithm genetic algorithm. We found that these behaved quite differently terms of their costs abilities effective for evolving programs. this paper, present hybrid technique combines algorithms. report the results an empirical study shows...

Summary Test suite augmentation techniques are used in regression testing to identify code elements a modified program that not adequately tested and generate test cases cover those elements. A defining feature of is the potential for reusing existing suites. Our preliminary work suggests several factors influence efficiency effectiveness perform such reuse. These include order which target considered while generating cases, manner newly generated used, algorithm cases. In this work, we...

Dataflow programming languages, which represent programs as graphs of data streams and operators, are becoming increasingly popular being used to create a wide array commercial software applications. The dependability written in these well the systems compile run programs, hinges on correctness semantic properties associated with operators. Unfortunately, often poorly defined, frequently not checked, this can lead range problems that use In paper we present an approach for improving dataflow...

MapReduce is a platform for analyzing large amounts of data on clusters commodity machines. popular, in part thanks to its apparent simplicity. However, there are unstated requirements the semantics applications that can affect their correctness and performance. implementations do not check whether user code satisfies these requirements, leading time-consuming debugging sessions, performance problems, and, worst all, silently corrupt results. This paper makes explicit, framing them as...

The software systems which are related to national projects always very crucial. This kind of involves hi-tech factors and has spend a large amount money, so the quality reliability deserve be further studied. Hence, we propose apply three classification techniques most used in data mining fields: Bayesian belief networks (BBN), nearest neighbor (NN) decision tree (DT), validate usefulness metrics for risk prediction. Results show that comparing with such as Lines code (LOQ Cyclomatic...

A fast algorithm for local maximum and minimum filters is presented by Marcel van Herk, utilizing separability recursive algorithms. In this paper, we put forward another improved based on Herk's research. The new makes the comparison each pixel in two auxiliary spaces without original image space with purpose of reducing calculation space. better result has been obtained upon computer simulation, method, which more suitable implementation programming, capable improving efficiency operation...

Test suite augmentation techniques are used in regression testing to identify code elements affected by changes and generate test cases cover those elements. Whereas methods find have been extensively researched testing, how new these cost-effectively has rarely studied. It is known that generating very expensive, so we want focus on this second step. We believe reusing existing will help us achieve task. This research intends provide a framework for reuse automatically as many possible...

Abstract In a power grid system, utility is measure of the satisfaction users’ electricity consumption; cost monetary value generated by supplier. The and functions represent different users Quadratic utility, logarithmic quadratic are widely used in social welfare maximization models real-time pricing. These not universal; they have to be discussed detail for individual models. To overcome this problem, piece-wise linear function with general properties proposed paper. By smoothing...

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTStructure-activity relationships on pesticides: A development in methodology and its software systemJiaju Zhou, Qian Xie, Dunming Sun, Guirong Lingxiao Cao, Zhihong XuCite this: J. Chem. Inf. Comput. Sci. 1993, 33, 3, 310–319Publication Date (Print):May 1, 1993Publication History Published online1 May 2002Published inissue 1 1993https://pubs.acs.org/doi/10.1021/ci00013a006https://doi.org/10.1021/ci00013a006research-articleACS PublicationsRequest...

A new framework for pricing European vulnerable options is developed in the case where underlying stock price and firm value follow mixed fractional Brownian motion with jumps, respectively. This research uses actuarial approach to study problem of options. An analytic closed-form formula jumps obtained. For purpose understanding model, some properties this model are discussed paper. Finally, we compare analyze results different models discuss influences basic parameters on our proposed by...

Repairable system is generally dealt by Markov modeling method. But the state space will exponentially explode with increasing number of components. Thus, a newly emerging concept, survival signature, utilized in this paper to help reduce modeling. On basis that, mathematical expressions availability for repairable consisting homogenous components as well heterogeneous are derived. The final cases demonstrate application method and proved be efficiency.

In order to quantitatively describe the complexity of traffic flow system, this paper analyzes on a road based introducing statistical and its properties. Taking three typical sections in Nanjing, by comparing analyzing relationship between conflict rate different sections, draws out regression model rate. The results show that: characteristic is an effective measure random non-linear systems relevance non-serious better enough analyze complexity, which brings new idea studying system.

Demand response (DR) is one of the major stakeholders in smart grid and has been used as an energy reconciler between supply demand. After a literature overview, importance paper enhanced by having theoretical behavioral-based analysis DR power systems. In this work, potential factors that influence more among customers residential market whole have discussed. The customers’ elastic demand approach can pave way for adapting responsive mechanism ensures system reliability cost effective...