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Ontology Based Test Case Reduction in Regression Testing
Ummer Farooq;Usman Qamar;Arslan Shaukat;Abu Bakar;Zubia Ashraf;Mehwish Naz
2023 26th International Conference on Computer and Information Technology (ICCIT)
Year: 2023 | Conference Paper |
Ontology-based test case reduction in regression testing during software testing is a sophisticated approach that leverages semantic knowledge representation to optimize the selection of test cases. By harnessing domain-specific ontologies, this methodology facilitates a more intelligent and efficient reduction process, ensuring that only the most relevant test cases are retained for subsequent te...Show More
Common Problems in Software Requirement Engineering Process: An Overview of Pakistani Software Industry
Sadia Khalid;Uzair Rasheed;Mishal Muneer;Wasi Haider Butt;Rabia Mehmood;Usman Qamar
2023 4th International Conference on Advancements in Computational Sciences (ICACS)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
Requirement engineering is a major phase of software development process. A project's success mainly depends on an efficient and effective requirement engineering process. Practices have been defined to ensure successful requirement engineering of software projects. Yet the professionals face numerous issues during this phase. This paper explores the software requirement engineering practices from...Show More
A Machine Learning-Based Approach for Improving TCP Congestion Detection Mechanism in IoTs
2022 International Conference on Frontiers of Information Technology (FIT)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
TCP provides suboptimal performance when it comes to wireless or mobile networks. End-to-end connectivity with reliability is a big challenge in IoTs that have restricted memory and processor resources. Mainly, TCP was prepared for only wired networks and its performance will be ruined if we applied it on wireless and ad-hoc networks. IoTs have several issues related to TCP that need to be address...Show More
Churn Prediction of Customers in a Retail Business using Exploratory Data Analysis
2022 International Conference on Frontiers of Information Technology (FIT)
Year: 2022 | Conference Paper |
These days retail stores and supermarkets are rapidly increasing, and they became very high saturated business. Due to its rapid growth, retail sector is facing very serious problems of customer attrition and churns. So, to overcome this problem, the retail stores and supermarkets need to have an effective churn management strategy. Machine learning, and Data Mining can be used by the management t...Show More
Relationship between Organization's Physical and Psychological Environment and Employees' Mental Satisfaction: An Empirical Analysis of Employee Turnover in Software Industry
2022 16th International Conference on Open Source Systems and Technologies (ICOSST)
Year: 2022 | Conference Paper |
With all the awareness and work on mental health being done, the software industry is often left out. The study aims to find commonly reported physical and psychological factors linked to employee's mental satisfaction and loyalty to the organization and then, in their light, gauge the current scenario of software houses of Lahore, Pakistan. The study finds literature published since 2000 and deve...Show More
A Decision Making Approach for Street Lockdown to Cope with Covid-19 Cases by Using Shortest Path Selection Mechanism for Unplanned Colonies
2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2)
Year: 2022 | Conference Paper |
Infectious disease syndrome like covid-19 falls under the Public health domain and needs to be addressed with timely decisions and rapid actions. For such diseases, the dispersal becomes exponential with frequent social gatherings, therefore the immediate strategy, to control the surging waves of covid-19, was to impose immediate lockdown of COVID-19 infected zones. In this paper, the concept of s...Show More
Integrated Product-Process Design: Conceptual Framework for Data Driven Manufacturing Resource Selection
Uzair Khaleeq Uz Zaman;Mujtaba Rafique Ghoto;Ali Siadat;Aamer Ahmed Baqai;Anas Bin Aqeel;Usman Qamar
2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2)
Year: 2022 | Conference Paper |
With the extensive development of new technologies and the application of information in the manufacturing industry, immense volumes of distinct data are being generated and collected daily. However, this data is largely unusable as its not meticulously cleaned and processed. The effective utilization of such complex data is the cornerstone of data analytics, as successful analysis leads to useful...Show More
A Novel Approach for Periodically Updating Rough Approximations Upon Multi-Dimension Variation
2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2)
Year: 2022 | Conference Paper |
In present era, transformation of almost all fields of life toward digitalization, poses various challenges. One of them is effective data analysis of large datasets and its complexity multiplies when dataset evolves with time. Dominance based rough set theory is a mathematical based tool, which efficiently probes hidden patterns from preference ordered based datasets. But in case of large dataset...Show More
Develop an Ontology for E-Commerce based on a Web Application to Assist Color-blind people
2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2)
Year: 2022 | Conference Paper |
Color-blindness is a genetic eye disease. The person who is suffering from this disease cannot see the correct color of life. The human eye consists of rods and cones. Rods are responsible for black and white vision while cones are responsible for color vision. Colorblindness is arisen due to a deficiency of few cones of the eye. E-Commerce application plays an important role in the current era. B...Show More
A Heuristic Approach to Dynamically Update Approximations of Dominance Based Rough Set Theory
2022 24th International Conference on Advanced Communication Technology (ICACT)
Year: 2022 | Conference Paper |
In multi-criteria decision-making problems, dominance based rough set approach (DRSA) has been extensively used. However, in real-time domain, information often evolves with time. To extract updated knowledge from dynamic systems using DRSA, we have to re-calculate approximations to update information. This process of periodic re-calculation consumes a significant computational cost, and it consid...Show More
A Novel Natural Language Processing approach to automatically Visualize Entity-Relationship Model from Initial Software Requirements
Mudassar Adeel Ahmed;Imran Ahsan;Usman Qamar;Wasi Haider Butt
2021 International Conference on Communication Technologies (ComTech)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
An Entity Relationship Model is a crucial design artifact used in data modelling. An additional time and numerous resources are involved in generating the ER model from preliminary software requirements manually. In contrast, Natural Language Processing is a knowledge acquisition methodology to generate several design artifacts from preliminary software requirements automatically. However, some ma...Show More
Affect of Data Filter on Performance of Latent Semantic Analysis based Research Paper Recommender System
2020 5th International Conference on Computational Intelligence and Applications (ICCIA)
Year: 2020 | Conference Paper |
Latent Semantic Analysis uses Singular Value Decomposition (SVD) to effectively retrieve relevant information from the information corpus. However, LSA has a high computational cost. In order to address this aspect, it is proposed to filter only those words carrying high semantic importance. The aim is to improve the execution time of semantic space construction and dimensionality reduction. We pr...Show More
Improving K-Mean Method by Finding Initial Centroid Points
2020 22nd International Conference on Advanced Communication Technology (ICACT)
Year: 2020 | Conference Paper |
Cited by: Papers (7)
The paper is concerned with Improving k-Mean Algorithm in terms of accuracy by selecting the best initial seed points based on the provided k value. This paper presents two modified k-mean method for the selection of initial centroid points. In the first method based on the calculated k value with the help of elbow method, the original sorted data based on distances calculated using Euclidean dist...Show More
Computationally Efficient Approximation Algorithm of Dominance Based Rough Set Approach
2020 22nd International Conference on Advanced Communication Technology (ICACT)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Information systems contain preference ordered decision attributes now a day. To deal with them Dominance based Rough Set Approach (DRSA) is used. Two important concepts in DRSA are upper and lower approximations, both of them are computationally heavy algorithms. Reduction in its computational complexity helps in many advance applications of DRSA. Our proposed algorithm reduces its complexity by ...Show More
MF-GARF: Hybridizing Multiple Filters and GA Wrapper for Feature Selection of Microarray Cancer Datasets
2020 22nd International Conference on Advanced Communication Technology (ICACT)
Year: 2020 | Conference Paper |
Cited by: Papers (7)
DNA Microarray technology is a valuable advancement in medical field but it gives birth to many challenges like curse of dimensionality, storage and computational requirements. In this paper we have proposed, a multiple filters and GA wrapper based hybrid approach (MF-GARF) that incorporates Random forest as fitness evaluator of features. The proposed hybrid approach MF-GARF is comprised of three ...Show More
A Novel Framework For Sentiment Analysis Using Deep Learning
Andleeb Aslam;Usman Qamar;Pakizah Saqib;Reda Ayesha;Aiman Qadeer
2020 22nd International Conference on Advanced Communication Technology (ICACT)
Year: 2020 | Conference Paper |
Cited by: Papers (4)
Large amount of un-structured data is present online in the form of opinions and reviews. The most important task of NLP is to Extract useful information from unstructured data by first converting into structured form. Many customers write down reviews online but do not give rating to them. The main concern of this paper is to perform sentiment analysis by predicting two main types of polarities f...Show More
Weight and Cluster Based Test case Prioritization Technique
2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
Year: 2019 | Conference Paper |
Cited by: Papers (8)
Software testing has a significant importance to achieve maximum quality to satisfy the customers and concerned stakeholders. A test case is designed to perform set of actions with intend of finding errors and verify some functions and features of an application. During design process, a huge number of test cases produced, some of them are of little or no use, which can be ignore or postponed, whe...Show More
Opinion Mining Using Live Twitter Data
Andleeb Aslam;Usman Qamar;Reda Ayesha Khan;Pakizah Saqib;Aleena Ahmad;Aiman Qadeer
2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)
Year: 2019 | Conference Paper |
Cited by: Papers (7)
Opinion mining and extracting Sentiments of people is the need of today. This is the era of Big data. Because of social networking sites, it's easy to analyze sentiments of people. Sentiment analysis is a technique to extract opinions of people regarding any product, issue or personality. This paper is about extracting live twitter data regarding any topic and converting it into structured form fr...Show More
Quality Framework for Ontologies Evaluation Based on Structural Characteristics
Reda Ayesha Khan;Usman Qamar;Andleeb Aslam;Pakizah Saqib;Aleena Ahmad
2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
In the domain of medical, biomedical ontologies play an important role for extracting the information and knowledge about the specific domain and present the problem in more understandable form. Now a day there are a lot of work in done in this field. Also, many evaluation techniques are made to check the correctness or quality of the ontologies. In this paper we proposed an evaluation technique t...Show More
Identification of Difficult English Words for Assisting Hearing Impaired Children in Learning Language
2019 IEEE 17th International Conference on Software Engineering Research, Management and Applications (SERA)
Year: 2019 | Conference Paper |
Hearing impairment is a partial or total inability to hear. Children cannot learn speech and develop vocabulary at a regular pace due to which process of language development in such children is slow. For hearing impaired children, reading and writing English language text is considered to be a complex task. A Text is always composed of sentences and the sentences are made by the combination of co...Show More
Sentiment Analysis for Urdu News Tweets Using Decision Tree
2019 IEEE 17th International Conference on Software Engineering Research, Management and Applications (SERA)
Year: 2019 | Conference Paper |
Cited by: Papers (17)
In the last few years, with rapid growth in use of networking sites such as twitter and Facebook has been increased greatly. This also attracted the researcher to use social networks data for sentiment analysis. Sentiment analysis is also known as opinion mining is the process of finding out the emotion such as positive, negative and neutral from the series of words. In present, on internet huge a...Show More
Detection and Diagnosis of Psychological Disorders Through Decision Rule Set Formation
2019 IEEE 17th International Conference on Software Engineering Research, Management and Applications (SERA)
Year: 2019 | Conference Paper |
Cited by: Papers (4)
Mental illness has long term influences on people's relationships, health, education and profession. According to WHO, psychological disorders are continuously growing its burden for the past few years throwing serious impact on people's health, economic and social condition all over the globe. A similar statistics states that in 2011 about 30 million people worldwide were affected by Major Depres...Show More
Building a Biomedical Ontology for Chronic Liver Disease
2019 International Conference on Computer, Information and Telecommunication Systems (CITS)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
This research aims for the creation of a core biomedical ontology for chronic liver disease using UMLS as data source. As users cannot work on the accessible information by themselves due to unstructured format of biomedical data and literature, ontologies helps to create structure for the existing information. Resource description framework (RDF) is used in protégé tool for creation of schemas an...Show More
Blockchain have been an interesting research area for a long time and the benefits it provides have been used by a number of various industries. Similarly, the healthcare sector stands to benefit immensely from the blockchain technology due to security, privacy, confidentiality and decentralization. Nevertheless, the Electronic Health Record (EHR) systems face problems regarding data security, int...Show More
SimFiller. Similarity-Based Missing Values Filling Algorithm
Fateh ur Rehman;Muhammad Abbas;Sajjad Murtaza;Wasi Haider Butt;Saad Rehman;Usman Qamar
2018 Thirteenth International Conference on Digital Information Management (ICDIM)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
With the growth of heterogeneous data generation sources low-quality data volumes are expanding on a daily basis. This research proposed SimFiller: similarity-based missing (null) values filling algorithm, to enhance the quality of data for the data mining process. The proposed algorithm calculates the similarity of record pairs from the input data in such a way that at least one member of the pai...Show More
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