Random Testing: The Best Coverage Technique - An Empirical Proof

K Koteswara Rao,Prof GSVP Raju 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.12

Soft testing is one way of assuring quality of the software. There are many testing techniques to test the software, however random testing is one among the best alternatives, which will generate the test inputs based on some dissemination. It is evaluated theoretically and concluded that the performance of random testing is very impressive when it is compared with partition testing even though it gives good results for testing. Here in this paper we addressed the difference in coverage between random testing and partition testing, here we have taken one example program and written the test cases for that. To test the program we have used automated tools JUnit for partition testing and Randoop for random testing. Once it is over using EclEmma the coverage of test cases is evaluated and proved RT is best.

Theoretical Investigations to Random Testing Variants and its Implications

K. Koteswara Rao,Prof GSVP Raju 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.5

In real world Testing is the most challenging job in software development. In these days of the information technology epoch, the software has become the lifeline of every human activity. It may not be hyperbole, if someone states that our lives will come to stand-still if every software machine in the universe stops working! When software plays such a crucial role in our lives, it is very important that the software we use should be very high quality and reliability. Even the small gremlin is there in any software that causes huge disaster. These are the examples PATRIOT MISSILE- the patriot missile example shows how a small software bug accumulation of error due to rounding off a number can lead to catastrophe. And ARIANE-5- European Space Agency launched the ariane5 satellite launch vehicle. Exactly 40 seconds after lift-off at an attitude of 3700meters, the launcher devastated and became a ball of fire. This type of mint errors can’t be covered in normal testing’s like Unit Testing, Integration Testing, etc. For that reason RANDOM TESTING is introduced. Random testing is a dominant or a commanding tool in finding low-frequency bugs that are nearly impossible to find using other methods. A Low-frequency bug sometimes leads to system to crash, hence these have to be identified and removed. By using a test, Oracle one may also detect non-crashing errors in the system. Here the objective of work is to study the advantage and various implications of Random Testing, later we will develop one assumed application “Trading system”, to that we will apply random testing to accentuate theoretical and practical implications including variants of Random Testing.

UWB Band-Notched Monopole Antenna with Defected Ground Structure

V.N.Koteswara rao,N. Vyuha,P. Naga sai,K. Sahitya,K. Divya,K. Maheswarareddy,Devana 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.4

A compact planar monopole antenna with standard band-notched characteristic suitable for ultra wideband (UWB) applications is presented. This microstrip-fed antenna, consisting of an inverted U-shaped slot on the radiating patch with defected ground structure. The designed antenna has a small size of 12×18×1.6 mm3 and operates over the frequency band between 3.7 and 10.4 GHz for VSWR < 2, while showing the band rejection performance in the frequency band of 5.1 to 5.9 GHz (WLAN) and is suitable for applications of communication systems, wireless communications, various kinds of antenna test ranges, and high resolution microwave imaging systems. The proposed UWB antenna is simulated by using the CST Microwave studio.

Empirical Investigations to Find Illegal and its Equivalent Test Cases using RANDOM-DELPHI

J. Ratna Kumar,K. Koteswara Rao,D. Ganesh 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.11

Software quality can be described as degree of conformance to functional, performance requirements, implicit and explicit characteristics and specified document development standards. To assure software quality testing and debugging both have to be accommodate Testing is a sequence of steps that can be applied to achieve or uncover bugs, which can be rated as mild, moderate, serious, seriously disturbing, extreme, intolerable, and catastrophic. Sometimes low frequency bugs may not detected using normal testing, but causes huge disaster like Ariane 5, Patriot missile, Mars path finder. To uncover low frequency bugs Random Testing (RT) is a best alternative strategy. However random testing is useful technique for testing, the implications of random testing are not to choose random testing as their testing technique for the testers. In this paper we present the implications of random testing and to prove these implications with the FTP-Client Server application.

Prognostication of Climate Using Sliding Window Algorithm

D.V.N. Koteswara Rao,M.Anusha,P. Nagendra Babu,M. Divya Sri,N.Rajesh,K. Sandeep Kumar 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.4

Weather forecasting is the task of determining future state of the atmosphere. To predict the future’s weather condition, the variation in the conditions in past years must be utilized. The probability that the weather condition of the day in consideration will match the same day in previous year is very less. But the probability that it will match within the span of adjacent sixty days of previous year is very high. A Sliding window algorithm is emerging as a leading methodology for the application of weather prediction. So, the prediction is made based on sliding window algorithm. So, sixty days are considered for previous year a sliding window is selected of size equivalent to fifteen days. Every thirty days of sliding window is then matched with that of current year’s thirty days in consideration. The best matched window is made to participate in the process of predicting weather conditions. The month wise results are being computed for four months to check the accuracy. The experimental results demonstrate that the applied technique gives better predicted weather conditions are quite efficient with an average accuracy of 94.21%.

Conditional Density based Statistical Prediction

J Rama Devi,K. Koteswara Rao,M Venkateswara Rao International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.6

Numerous genuine issues, for example, financial exchange expectation, climate determining and so forth has inalienable arbitrariness related with them. Receiving a probabilistic system for forecast can oblige this dubious connection among past and future. Commonly the interest is in the contingent likelihood thickness of the arbitrary variable included. One methodology for expectation is with time arrangement and auto relapse models. In this work, liner expectation technique and approach for computation of forecast coefficient are given and likelihood of blunder for various assessors is determined. The current methods all need in some regard assessing a boundary of some accepted arrangement. In this way, an elective methodology is proposed. The elective methodology is to gauge the restrictive thickness of the irregular variable included. The methodology proposed in this theory includes assessing the (discretized) restrictive thickness utilizing a Markovian definition when two arbitrary factors are genuinely needy, knowing the estimation of one of them allows us to improve gauge of the estimation of the other one. The restrictive thickness is assessed as the proportion of the two dimensional joint thickness to the one-dimensional thickness of irregular variable at whatever point the later is positive. Markov models are utilized in the issues of settling on an arrangement of choices and issue that have an innate transience that comprises of an interaction that unfurls on schedule on schedule. In the nonstop time Markov chain models the time stretches between two successive changes may likewise be a ceaseless irregular variable. The Markovian methodology is especially basic and quick for practically all classes of classes of issues requiring the assessment of contingent densities.

Synthesis, Characterization and Electrochemical Properties of a Fluoride-Substituted Spinel LiMn2O4 Cathode Material

Taddesse Paulos,Gebrekiros Haftu,Veeraiah V.,Babu K. Vijaya,Babu K. Ephraim,Rao M. Koteswara 한국물리학회 2020 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.76 No.10

Conventional high-temperature (800 °C) synthesis of fluoride-substituted samples from LiF has been found to encounter the volatilization of fluorine and to limit the fluorine content, as reported in our earlier paper. In the present study, a fluoride-substituted spinel LiMn2O4 material was synthesized by using a solid-state reaction method with (NH4)HF2 as the fluorine source. The structure and the electrochemical properties of the synthesized samples were characterized by using powder X-ray diffraction (XRD), scanning electron microscopy (SEM), surface area analysis, Fourier transform infrared (FT-IR) spectroscopy, cyclic voltammetry (CV) and charge-discharge tests. As indicated by XRD, all samples showed a spinel cubic structure with space group Fd\={3}m. In comparison with the pure LiMn2O4, fluoride substitution leads to an increase in the lattice parameter, as well as the crystal size, and a decrease in the oxidation state of manganese. From N2-sorption, LiMn2O3.85F0.15 was found to have the smallest specific surface area and the largest pore diameter compared to the LiMn2O4 and the LiMn2O3.95F0.05 samples. Additionally, the majority of the pores in all samples were found to be located in the region of mesopores. The results of the electrochemical study showed that a fluoride substitution into LiMn2O4 improved the initial discharge capacity of the materials. Among the synthesized samples, LiMn2O3.85F0.15 can be used as a starting material for producing better performing spinel-type cathode materials.