scholarly journals A Review of Software Reliability Testing Techniques

2021 ◽  
Vol 28 (3) ◽  
pp. 147-164
Keyword(s):  
Software Reliability ◽  
Intelligent Systems ◽  
Test Case ◽  
Reliability Testing ◽  
Reliability Modeling ◽  
Software Technology ◽  
Intelligent Software ◽  
Challenges And Opportunities ◽  
Testing Technology ◽  
The Impact

In the era of intelligent systems, the safety and reliability of software have received more attention. Software reliability testing is a significant method to ensure reliability, safety and quality of software. The intelligent software technology has not only offered new opportunities but also posed challenges to software reliability technology. The focus of this paper is to explore the software reliability testing technology under the impact of intelligent software technology. In this study, the basic theories of traditional software and intelligent software reliability testing were investigated via related previous works, and a general software reliability testing framework was established. Then, the technologies of software reliability testing were analyzed, including reliability modeling, test case generation, reliability evaluation, testing criteria and testing methods. Finally, the challenges and opportunities of software reliability testing technology were discussed at the end of this paper.

The Technology of Software Reliability Virtual Test Based on Software Conventional Failure Data

2013 ◽  
Vol 462-463 ◽  
pp. 1097-1101
Author(s):  
Jun Ai ◽  
Jing Wei Shang ◽  
Yang Liu
Keyword(s):  
Software Reliability ◽  
Failure Time ◽  
Reliability Test ◽  
Reliability Testing ◽  
Input Space ◽  
Software Failure ◽  
Data Matching ◽  
Failure Data ◽  
Testing Technology ◽  
Actual Use

The technology of software reliability quantitative assessment (SRQA) is based on failure data collected in software reliability test or actual use. However, software reliability testing is a long test cycle and difficult to collect enough failure data, which limits SRQA in the actual project. A large number of software failure found from the software growth test cant be used because the process has nothing to do with the actual use or no record of failure time. In this paper, software reliability virtual testing technology based on software conventional failure data is presented. According to the internal data association between input space of software reliability test and failure data found in conventional software testing, a data matching algorithm is proposed to obtain possible failure time in software reliability testing by matching conventional failure data and the input space. Finally, the imitate engine control software is used as the experimental subject to verify the feasibility and effectiveness of the method.

scholarly journals A Psychology Expert System to Determine the Level of Stress in Subjects

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Ali Mirzapour
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Intelligent Systems ◽  
Specific Area ◽  
Reasoning System ◽  
Intelligent Software ◽  
Sources Of Knowledge ◽  
The Individual ◽  
Anxiety Depression ◽  
The Impact

As programs that imitate an expert’s behavior in a specific area, expert systems can be used, trusted and influential in different areas due to the modeling of the human’s logic and reasoning system, and similarity of the sources of knowledge used by them. In the absence of experts, the intelligent software can measure the level of stress in individuals to a relatively reliable level. The design of intelligent systems in psychological counseling is of great importance due to the impact of this field on the various areas of today's life. The present paper aims to describe how to design and implement a psychology expert system to determine the level of stress in different people using MATLAB software. As one of the most popular psychological tests to determine the level of anxiety, depression and stress in different individual, this test is conducted based on the DASS-21 test, which deduct the result depending on the rules defined and the responses received from the user and determines the level of stress of the individual.

Challenges and opportunities for the affective sciences.

2018 ◽  
Author(s):  
Andrew S. Fox ◽  
Regina Lapate ◽  
Alexander J. Shackman ◽  
Richard J Davidson
Keyword(s):  
Well Being ◽  
Human Condition ◽  
Emotional States ◽  
Quarter Century ◽  
Core Feature ◽  
Challenges And Opportunities ◽  
The Mind ◽  
The Impact ◽  
Improved Methods ◽  
Health And Well Being

Emotion is a core feature of the human condition, with profound consequences for health, wealth, and wellbeing. Over the past quarter-century, improved methods for manipulating and measuring different features of emotion have yielded steady advances in our scientific understanding emotional states, traits, and disorders. Yet, it is clear that most of the work remains undone. Here, we highlight key challenges facing the field of affective sciences. Addressing these challenges will provide critical opportunities not just for understanding the mind, but also for increasing the impact of the affective sciences on public health and well-being.

The Impact of Emerging Technologies on the Law of Armed Conflict

2019 ◽  
Keyword(s):  
Armed Conflict ◽  
New Technologies ◽  
Emerging Technologies ◽  
Legal Issues ◽  
Technological Advancement ◽  
Law Of Armed Conflict ◽  
Legal Challenges ◽  
Challenges And Opportunities ◽  
The Law ◽  
The Impact

Emerging technologies have always played an important role in armed conflict. From the crossbow to cyber capabilities, technology that could be weaponized to create an advantage over an adversary has inevitably found its way into military arsenals for use in armed conflict. The weaponization of emerging technologies, however, raises challenging legal issues with respect to the law of armed conflict. As States continue to develop and exploit new technologies, how will the law of armed conflict address the use of these technologies on the battlefield? Is existing law sufficient to regulate new technologies, such as cyber capabilities, autonomous weapons systems, and artificial intelligence? Have emerging technologies fundamentally altered the way we should understand concepts such as law-of-war precautions and the principle of distinction? How can we ensure compliance and accountability in light of technological advancement? This book explores these critical questions while highlighting the legal challenges—and opportunities—presented by the use of emerging technologies on the battlefield.

scholarly journals Wellness Tourism—New Challenges and Opportunities for Tourism in Salou

2021 ◽  
Vol 13 (15) ◽  
pp. 8246
Author(s):  
Marta Gemma Nel-lo Andreu ◽  
Alba Font-Barnet ◽  
Marc Espasa Roca
Keyword(s):  
Environmental Sustainability ◽  
Seasonal Adjustment ◽  
Competitive Advantages ◽  
Strategic Renewal ◽  
Challenges And Opportunities ◽  
The Face ◽  
History Of ◽  
Wellness Tourism ◽  
Fundamental Value ◽  
The Impact

Following a long history of using various strategies and policies for diversification and seasonal adjustment in the face of the challenges of achieving economic, social, and environmental sustainability, sun and beach destinations should also consider targeting the wellness tourism market as a post pandemic opportunity and long-term solution. Salou is a mature sun and beach destination in the Mediterranean, but one which, for some time, has had an increasing commitment to family and sports tourism as a result of a strategic renewal process. Now, with the impact of the coronavirus pandemic, the destination management organization is considering the evolution of the model, the internalization of sustainability as a fundamental value, and the impact of different markets. In this study, we examined the challenges the Salou Tourist Board has faced during the development of a post pandemic model for sustainable tourism and what strategies it has adopted in response. We also considered the opportunities and competitive advantages that Salou has in the field of wellness tourism. The results obtained should encourage the continuation of work that promotes the environmental axis of sustainability and adds value to the natural resources on which it depends, including the sea and the landscape, while maintaining the environmental quality of the resources.

scholarly journals Processes, Challenges and Optimisation of Rum Production from Molasses—A Contemporary Review

Fermentation ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 21
Author(s):  
Tinashe Mangwanda ◽  
Joel B. Johnson ◽  
Janice S. Mani ◽  
Steve Jackson ◽  
Shaneel Chandra ◽  
...  
Keyword(s):  
Management Practices ◽  
Scientific Literature ◽  
Asia Pacific ◽  
Yeast Strains ◽  
Challenges And Opportunities ◽  
The Caribbean ◽  
The Impact ◽  
Production Industry ◽  
Stringent Quality

The rum industry is currently worth USD 16 billion, with production concentrated in tropical countries of the Caribbean and Asia-Pacific regions. The primary feedstock for rum production is sugar cane molasses, a by-product of sugar refineries. The main variables known to affect rum quality include the composition of the molasses, the length of fermentation, and the type of barrels and length of time used for aging the rum. The goal of this review is to provide an overview of the impact of these variables on rum quality, and to highlight current challenges and opportunities in the production of rum from molasses. In order to achieve this, we review the relevant contemporary scientific literature on these topics. The major contemporary challenges in the rum production industry include minimising the effects of variability in feedstock quality, ensuring the fermentation process runs to completion, preventing microbial contamination, and the selection and maintenance of yeast strains providing optimum ethanol production. Stringent quality management practices are required to ensure consistency in the quality and organoleptic properties of the rum from batch to batch. Further research is required to fully understand the influences of many of these variables on the final quality of the rum produced.

scholarly journals Photovoltaic Power Forecasting: Assessment of the Impact of Multiple Sources of Spatio-Temporal Data on Forecast Accuracy

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1432
Author(s):  
Xwégnon Ghislain Agoua ◽  
Robin Girard ◽  
Georges Kariniotakis
Keyword(s):  
Satellite Images ◽  
Forecast Accuracy ◽  
Absolute Error ◽  
Data Sources ◽  
Test Case ◽  
Temporal Data ◽  
Multiple Sources ◽  
Forecasting Error ◽  
Spatio Temporal ◽  
The Impact

The efficient integration of photovoltaic (PV) production in energy systems is conditioned by the capacity to anticipate its variability, that is, the capacity to provide accurate forecasts. From the classical forecasting methods in the state of the art dealing with a single power plant, the focus has moved in recent years to spatio-temporal approaches, where geographically dispersed data are used as input to improve forecasts of a site for the horizons up to 6 h ahead. These spatio-temporal approaches provide different performances according to the data sources available but the question of the impact of each source on the actual forecasting performance is still not evaluated. In this paper, we propose a flexible spatio-temporal model to generate PV production forecasts for horizons up to 6 h ahead and we use this model to evaluate the effect of different spatial and temporal data sources on the accuracy of the forecasts. The sources considered are measurements from neighboring PV plants, local meteorological stations, Numerical Weather Predictions, and satellite images. The evaluation of the performance is carried out using a real-world test case featuring a high number of 136 PV plants. The forecasting error has been evaluated for each data source using the Mean Absolute Error and Root Mean Square Error. The results show that neighboring PV plants help to achieve around 10% reduction in forecasting error for the first three hours, followed by satellite images which help to gain an additional 3% all over the horizons up to 6 h ahead. The NWP data show no improvement for horizons up to 6 h but is essential for greater horizons.

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