Sonakshi Vij

A Novel Method for Test Path Prioritization using Centrality Measures

Software testingisanessentialstageof thesoftwaredevelopment lifecyclewhich helpsinproducingbugfreesoftware.Thispaperintroducesastrategytocreatetest dataconsequentlyfromthebeginningoftestinformationwhichistestedagainstthe Programundertest(PUT)foramplenesscriteria.Initiallythisprocessproducestest information set arbitrarilywhere auniqueapproach for the test pathprioritization process is presented that uses the concept of centrality measures. The proposed algorithmcomputestheimportanceofeachnodeinthetestpathsbyusingvarious centralitymeasuresand thus identifies thesignificanceofeachpath.Furthermore, theproposedmethodologyshowsthemaximumnumberofpotentialnodesthatare covered using a less number of prioritized paths. This paper tests the created test informationagainsttheproducttocheckitssufficiency. KeywORdS Betweenness, Centrality Measures, Closeness, Degree, Path Prioritization, Software Testing

Text Summarization Using WordNet Graph Based Sentence Ranking

Text summarization refers to the task of generating a summary from a given document that tries to replicate the most significant information of the original document. A number of techniques are available in the literature regarding the same and sentence ranking is one of them. This paper proposes a novel method for text summarization using WordNet graph based sentence ranking. The proposed method utilizes the degree, betweenness, and closeness centrality measures. This paper also analyzes the current research work going on in text summarization and sentence ranking. Web of Science (WoS) is used as the data source for the same. The co-occurrence of all the keywords in the research papers pertaining to sentence ranking is also visualized.

E-alive: An Integrated Platform Based on Machine Learning Techniques to Aware and Educate Common People with the Current Statistics of Maternal and Child Health Care

Data science finds a variety of applications in day-to-day life. Its practical uses can cater to needs of improving the lifestyle and health standards of the individuals of the society. This paper proposes an intelligent tool, called E-alive, build to encourage people towards the sensitivity of maternal and child health care. This tool serves as an integrated platform for rural and urban people, government officials and policy makers to actively participate and analyse the current statistics of various parameters such as infant mortality rate, life expectancy ratios for females and males individually, female and male sterilization rates and maternal mortality rates for the next subsequent years. This can help them in taking quality decisions in order to improve upon the predicted values. Further this tool can assist in classifying the educational status of an individual, community and state on the basis of total fertility rates. This implies that the awareness factor among the people of respective community or state and total fertility rate can be predicted by this tool for the future years. The current analysis analyses the two government schemes in detail: Swadhar Scheme and Janani Suraksha Yojana. Other analysis factors include Life Expectancy Ratio, Education Details, Maternal Mortality Rate and the Contraceptive Methods used by people in major cities.

SLANGZY: a fuzzy logic-based algorithm for English slang meaning selection

Abstract The text present on online forums and social media platforms conventionally does not follow a standard sentence structure and uses words that are commonly termed as slang or Internet language. Online text mining involves a surfeit of slang words; however, there is a distinct lack of reliable resources available to find accurate meanings of these words. We aim to bridge this gap by introducing SLANGZY, a fuzzy logic-based algorithm for English slang meaning selection which uses a mathematical factor termed as “slang factor” to judge the accuracy of slang word definitions found in Urban Dictionary, the largest Slang Dictionary on the Internet. This slang factor is used to rank definitions of English slang words retrieved from over 4 million unique words on popular social media platforms such as Twitter, YouTube and Reddit. We investigate the usefulness of SLANGZY over Urban Dictionary to find meanings of slang words in social media text and achieve encouraging results due to recognizing the importance of multiple criteria in the calculation of slang factor in the algorithm over successive experiments. The performance of SLANGZY with optimum weights for each criterion is further assessed using the accuracy, error rate, F-Score as well as a difference factor for English slang word definitions. To further illustrate the results, a web portal is created to display the contents of the Slang Dictionary consisting of definitions ranked according to the calculated slang factors.

Amalgamating Data Analytics and Machine Learning for Predicting Sex Ratio and Infant Mortality Rate to Improve Gender Composition

Different parameters are used to obtain a detailed account of population compositionwithin a country or its states in terms of sex. These parameters include sex ratio, infant mortality rate, foeticide rate etc. In this paper, we analyse the trends in sex ratio of India and some of its states, the number of children ever born to a married women given that all are females and the number of surviving females is zero, infant mortality rate, child birth ratio, percent of boys more than girls. Through these parameters, we developed a prediction system for infant mortality rate and sex ratio of India, provided the current trends continue without substantial changes. We have collected the data from reliable government sources and used platforms of R programming for prediction purposes and RStudio for visualisation in order to present a visually appealing user interface. Although the data available to us was highly limited, our system was able to make predictions with an accuracy of 93%. Using the results, we have developed several conclusions and observation regarding the skewed gender composition in India and some of its states. Leveraging our observations, we have not only identified the problem areas but also tried to direct attention towards the policies/laws that have proved to be inefficient in alleviating this skewed sex ratio (in favour of males) in India.

Smart Cities: A Secure Data Transmission Model

The concept of Smart cities is gaining popularity at an extremely high rate. The data associated with them is of very large amount. This data affects the various services associated with them be it E Governance, smart transportation or smart education. Till now most of the security approaches that have been suggested, focus on database security and not on security of the data transmission process as a whole. In this paper we have proposed a model for secure transmission of data. This model is implemented using digital signatures for authentication and triple DES for data transmission. Digital signatures are further implemented using MD5 for hashing and RSA algorithm for encryption.