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Shreya Chatterjee

Bio: Shreya Chatterjee is an academic researcher from West Bengal University of Technology. The author has contributed to research in topics: Medicine & Biocompatibility. The author has an hindex of 1, co-authored 1 publications receiving 11 citations.

Papers
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Proceedings ArticleDOI
08 Apr 2011
TL;DR: A generic algorithm is developed that develops a generic algorithm that would for any given predicate, compute the minimum number of test cases that would cover the MC/DC criterion for this predicate.
Abstract: Testing has traditionally been one of the main techniques contributing to high software dependability and quality. Each stage in software development has a corresponding testing activity. Testing activity consumes about 50% of software development resources, so any technique aiming at reducing software-testing costs is likely to reduce software development costs. Proposed by NASA in 1994, the Modified Condition/Decision Coverage (MC/DC) criterion is a testing strategy required, among other practices, by the RTCA DO-178B. MC/DC is a white box testing criterion aiming at proving evidence that all clauses involved in a predicate can influence the predicate value in the required way. It subsumes other well-known coverage criteria such as statement and decision coverage. Our work involves a thorough study of the MC/DC criterion and our approach is organized in the following way. We automate the generation of number of test cases required to satisfy the MC/DC criterion. To this end we develop a generic algorithm that would for any given predicate, compute the minimum number of test cases that would cover the MC/DC criterion for this predicate.

14 citations

Journal ArticleDOI
TL;DR: In this article , the authors have summarized all recent modifications of iron-based magnetically active nanoparticle based drug delivery system along with their synthesis, characterization, and applications, and summarized all the recent modifications.
Abstract: For progression of health care system, it has always been a challenge to the researchers for formulation to a type of advanced drug delivery system which will have less toxicity, targeted delivery and will be highly biodegradable. Nano science or nanotechnology has been validated to be a successful method as of targeting the drug to its active site be due to its special physicochemical properties and size thereby reducing the dose of administration, increasing bioavailability, and also reducing toxicity. Magnetic nanoparticles recently in few decades have proved as an effective advanced drug delivery system for its elevated magnetic responsiveness, biocompatibility, elevated targeted drug delivery effectiveness, etc. The drug can be easily targeted to active site by application of external magnetic field. Among the various elements, nanoparticles prepared with magnetically active iron oxide or other iron-based spinel oxide nanoparticles are widely used due to its high electrical resistivity, mechanical hardness, chemical stability, etc. Owing to their easy execution towards drug delivery application, extensive research has been carried out in this area. This review paper has summarized all recent modifications of iron-based magnetically active nanoparticle based drug delivery system along with their synthesis, characterization, and applications.

3 citations

Journal ArticleDOI
TL;DR: A review of different types, applications and recent modifications on IPN-based drug delivery systems along with their synthesis, characterisation and applications is presented in this paper . But, it is not a comprehensive review of the entire literature.

2 citations

Journal ArticleDOI
TL;DR: In this paper , a total of 94 hematoxylin and eosinstained archival slides which included cases of well, moderate, and poorly differentiated oral squamous cell carcinoma and oral epithelial dysplasia were histopathologically evaluated to observe changes in different components of minor salivary gland.
Abstract: Background Oral squamous cell carcinoma (OSCC) is one of the most established oral cancers in India, with high morbidity and mortality. The most common etiological agent associated with it is tobacco (in any form), which releases chemical carcinogens that affect not only the oral epithelial lining but also deep stromal structures such as minor salivary glands. They may cause changes in ductal or acinar part of gland depending on tumor grade, thus providing a fertile soil for tumor growth and recurrence. Aims and Objective To observe the frequency of minor salivary gland changes associated with tobacco as well as to measure the length and depth of ductal involvement in routine tissue sections of OED and OSCC. Materials and Methods A total of 94 hematoxylin and eosinstained archival slides which included cases of well, moderate, and poorly differentiated OSCC and oral epithelial dysplasia were histopathologically evaluated to observe changes in different components of minor salivary gland. Ductal hyperplasia, ductal metaplasia, mucous pooling within duct, acinar degeneration, pattern of malignant cell invasion (single/clusters), inflammatory infiltrate, eosinophilic cuffing around the gland, and glandular/vascular involvement were evaluated in each slide and correlated with different grades of OSCC. Results Ductal hyperplasia, inflammatory cell infiltrate, mucous pooling, and pattern of malignant cell infiltration came out to be statistically significant with the highest percentage of changes being observed in poorly differentiated squamous cell carcinoma > moderately differentiated squamous cell carcinoma> well differentiated squamous cell carcinoma>oral epithelial dysplasia. Further, the results of this study suggest that extension of dysplasia or squamous cell carcinoma from overlying oral epithelium along salivary gland ducts is an uncommon finding. Conclusion: Hence, histopathological interpretation for OED and OSCC should also include changes related to associated minor salivary gland tissue as detection and eradication of the putative precursors are the best way of decreasing the overall morbidity caused by tumors.
Journal ArticleDOI
TL;DR: In this article , a total of 60 histopathologically diagnosed cases of well, moderately and poorly differentiated oral squamous carcinoma (OSCC) cases were obtained from the archives and Hematoxylin and eosin-stained slides were examined for Mitotic count and skeletal muscle invasion.
Abstract: Oral squamous carcinoma (OSCC) is one of the most challenging global constraint and currently the third most common cancer in India. Malignant cells exhibit anomalous morphological characteristics like increased and abnormal mitosis which might suffice as a prognostic indicator. Skeletal muscles present in close approximation with the oral epithelium are often encountered by the tumor cells of OSCC which is an uncharted territory and might serve as a critical parameter in assessing the outcome of OSCC. Amalgamation of mitotic count and skeletal muscle invasion can put forward cogent paths in discerning the behavior of these lesions.A total of 60 histopathologically diagnosed cases of well, moderately and poorly-differentiated OSCC cases were obtained from the archives. Hematoxylin and eosin-stained slides were examined for Mitotic count and Skeletal muscle invasion.There was a statistically significant increase in Mitotic count from well-differentiated to poorly-differentiated OSCC. Despite the statistically insignificant difference there was a distinct rise of skeletal muscle invasion from well-differentiated to poorly-differentiated OSCC.The rise in mitotic count with increasing grades of OSCC suggests an increase in their proliferation rate. Owing to the marked elevation of skeletal muscle invasion in higher grades of OSCC, we can assume it to be a reliable predictor of aggressiveness and outcome. Further studies with a uniform sample size and site specificity might help in solidifying their role in assessing the prognosis of OSCC.

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Journal ArticleDOI
30 Jun 2012
TL;DR: This paper conducted a literature study on all testing techniques together that are related to both Black and White box testing techniques, moreover it assumes a case situation of Insurance premium calculation for driver and derives the test cases and test data for white box testing methods.
Abstract: There are several methods for automatic test case generation has been proposed in the past. But most of these techniques are structural testing techniques that require the understanding of the internal working of the program. There is less practical coverage of all testing techniques together. In this paper we conducted a literature study on all testing techniques together that are related to both Black and White box testing techniques, moreover we assume a case situation of Insurance premium calculation for driver and we derive the test cases and test data for white box testing methods such as Branch testing, Statement testing, Condition Coverage testing, multiple condition coverage testing, in the similar way we derive the test cases and test data for the black box testing methods such as: Equivalence partitioning and Boundary value analysis.

272 citations

Proceedings ArticleDOI
24 Mar 2014
TL;DR: By clarifying the existing meanings of these variants, a new MCDC form is able to be defined, and an empirical study was performed to compare the fault detecting ability of this new form with other existing MCDC variants.
Abstract: One of the requirements of Modified Condition and Decision Coverage (MCDC) is that test cases should be selected to demonstrate that a condition can independently affect the outcome of a decision. However, it is known that test cases cannot be selected to satisfy this "independently-affect" requirement when a decision contains strongly coupled conditions. Researchers have proposed various forms of MCDC in addressing this issue. In last 20 years, these variant MCDC forms have been discussed and applied as test data adequacy criteria in white-box testing, and as fault revealing techniques in empirical studies. In this paper, we performed a systematic literature review (SLR) on these MCDC variants. By clarifying the existing meanings of these variants, we are able to define another MCDC form. Moreover, we performed an empirical study to compare the fault detecting ability of this new form with other existing MCDC variants. The results showed that this new form of MCDC has a higher fault detecting ability than the others.

18 citations

01 Jan 2015
TL;DR: A algorithm called Path Prioritization –Ant Colony Optimization (PP-ACO) has been suggested in this paper which is inspired by real Ant’s foraging behavior to generate optimal paths sequence of a decision to decision (DD) path of a graph.
Abstract: The assurance of software reliability partially depends on testing. Numbers of approaches for software testing are available with their proclaimed advantages and limitations, but accessibility of any one of them is a subject dependent. Time is a critical factor in deciding cost of any project. A deep insight has shown that executing test cases are time consuming and tedious activity. Thus stress has been given to develop algorithms which can suggest better pathways for testing. One such algorithm called Path Prioritization –Ant Colony Optimization (PP-ACO) has been suggested in this paper which is inspired by real Ant’s foraging behavior to generate optimal paths sequence of a decision to decision (DD) path of a graph. The algorithm does full path coverage and suggests the best optimal sequences of path in path testing and prioritizes them according to path strength.

18 citations

Proceedings ArticleDOI
01 Oct 2020
TL;DR: A unified catalog composed of testing technique selection attributes, built from the mapping study results, is presented to assist testing practitioners to choose the best testing techniques to apply to a particular software project.
Abstract: [Context] The correct selection of a software testing technique can positively influence the quality of the software in development. In previous work, a mapping study was conducted to identify approaches concerning software testing techniques selection, highlighting the attributes used to support the testing technique selection process. [Objective] This paper presents a unified catalog composed of testing technique selection attributes, built from the mapping study results. The aim is to assist testing practitioners to choose the best testing techniques to apply to a particular software project. [Method] Through the 10 studies that present the attributes used for supporting the process of selecting software testing techniques, 178 attributes were extracted. From this, a careful analysis was conducted to exclude the attributes that appeared duplicated. [Results] According to the objective and features, the catalog of attributes was classified into 8 categories, namely (i) general testing characteristics; (ii) tools; (iii) test team; (iv) software project; (v) orthogonal defect classification (ODC) faults; (vi) web applications; (vii) concurrent software; and (viii) model-based testing. [Conclusion] Through the development of this catalog, we intend to help testers, guiding them on how to select the best testing technique to be applied to software projects in the industry. It is expected that this work can foster collaboration between industry and academia to help improve the quality of software developed by choosing the best testing technique. Also, we want to further extend this work through the validation in industry real cases.

6 citations

Journal ArticleDOI
TL;DR: The main goal of the proposed technique is to enhance the performance of Assertion-Based software testing in the presence of large numbers of assertions.
Abstract: Software testing is a very labor intensive and costly task. Therefore, many software testing techniques to automate the process of software testing have been reported in the literature. Assertion-Based automated software testing has been shown to be effective in detecting program faults as compared to traditional black-box and white-box software testing methods. However, the applicability of this approach in the presence of large numbers of assertions may be very costly. Therefore, software developers need assistance while making decision to apply Assertion-Based testing in order for them to get the benefits of this approach at an acceptable level of costs. In this paper, we present an Assertion-Based testing metrics technique that is based on fuzzy logic. The main goal of the proposed technique is to enhance the performance of Assertion-Based software testing in the presence of large numbers of assertions. To evaluate the proposed technique, an experimental study was performed in which the proposed technique is applied on programs with assertions. The result of this experiment shows that the effectiveness and performance of Assertion-Based software testing have improved when applying the proposed testing metrics technique.

4 citations