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MS(SE) (BUES): Recent submissions

  • Development of an Ontology of C# Language for Intelligent Tutoring Systems 
    Anjum Iqbal, 01-241171-005 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    C# is one of the popular programming languages which is taught in many institutes of computer science and software engineering. The traditional way of teaching and learning C# language in these institutes is a challenging ...
  • ROBOTIC SOFTWARE ARCHITECTURE CHALLENGES, RESEARCH TRENDS AND KNOWLEDGE MANAGEMENT 
    Sana Amin, 01-241172-024 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Robotic software is an arrangement of coded directions and guidelines that tell mechanical device and electronic framework referred, together as a robot, to facilitate and perform different daily life difficult functions. ...
  • Requirements Prioritization Model in Agile Software Development Process: Scrum as Case Scenario 
    Muhammad Sannan Butt, 01-241171-021 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    The following research work is based on requirements prioritization techniques and relationship in context of the modern software development methodologies (Agile, Scrum, Extreme Programming) and precisely how these ...
  • A Novel Approach to Generate Knowledge Graph from Unstructured Text 
    Imran Fida, 01-241171-011 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Intelligent Tutoring System (ITS) is a technology that uses Artificial Intelligence and Machine Learning techniques to provide an adaptive learning environment. ITS records learner’s interactions during the study process ...
  • Safety and Security of Cyber-Physical System: A Security Framework 
    Shahbaz Ali Imran, 01-241171-037 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Although, we have seen rapid growth in the study, development and deployment of Cyber-Physical System in past decades. However, security threats are always there and numbers of security threats have also been improved, ...
  • On Fault Localization using Machine Learning Techniques 
    Haad Ali, 01-241181-008 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Software fault prediction is helpful in early detection of faults, in reducing testing cost and in improving resulting software quality. Software fault prediction considering extracted data from previously tested ...
  • THE DIMENSIONS OF GENDER AS BIOLOGICAL MODEL TO SEEK OUT THE INFLUENCE OF TYPOGRAPHIC FACTORS IN PERFORMANCE DURING INTERACTION 
    Shanzeh Sohail, 01-241181-023 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Usability of a web interface plays a key role in the human computer interaction. The multiple factors of usability have been measured by customization of the interface to give users easiness while they interact with the ...
  • Fault Model for Penetration Testing of Web Applications 
    Muniba Asghar, 01-241181-017 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Web applications have gained much of attention in today's world of internet. Now a days web applications are integral part of almost every business. Therefore, security in web applications cannot be sidestepped anymore. ...
  • Test Pattern based on Fault Model for Mobile Applications 
    Iqra Kanwal, 01-241182-015 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Mobile devices and mobile applications (mobile apps) have brought about a significant shift in consumer behavior. Shopping has evolved in e-shopping marketing has become e-marketing and commerce has become e-commerce. This ...
  • DETECTION OF MALARIA IN MICROSCOPIC IMAGES 
    Uzair Hussain, 01-241182-039 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Malaria is a disease caused by bites of female mosquito. During interaction with human, the mosquitos transfer parasites genus plasmodium into human blood. Falciparum and vivax are two dangerous plasmodium, which are ...
  • Lungs Cancer Detection Using 3DConvolutional Neural Network 
    Muhammad Orangzaib, 01-241171-020 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Lung cancer is one of the type malignant cancer. It occurs in a human body as a result of the uncontrolled growth of cells in lung tissues. Upon diagnoses the death rate of lung cancer patients is high as compared to ...
  • TEST CASE GENERATION USING USER STORIES 
    Talal Bin Afzal, 01-241172-040 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Agile software development methodology. is being used widely for software development with the passage of time because of its quick delivery of projects to the market. In the process of software development, software ...
  • IMPACT ANALYSIS OF OUTCOME BASED BLENDED LEARNING AT PRIMARY EDUCATION LEVEL 
    Abbas Ahmad, 01-241181-001 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    E-learning has made a rapid change and development in the learning and teaching process. It is the most auspicious outcome of modern technology and has become the global mode of the learning system. E-learning systems ...
  • USE OF HASH-BASED PROXY MOBILE IPV6 FOR MOBILITY MANAGEMENT IN COAP BASED INTERNET-OF-THINGS NETWORKS 
    MOMINA MUSHTAQ, 01-241172-011 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    In the field of Internet-of-Things, Constrained application Protocol (CoAP) has emerged as a new protocol. Recently, some mobility schemes have been proposed based on constrained application protocol based proxy mobile ...
  • AUTOMATED RULE FORMING AT CONTROLLER IN SOFTWARE DEFINED NETWORKING 
    Hira Maryam, 01-241172-002 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    In past years Software defined networking gained so much popularity that big organizations started shifting from the traditional approach to SDN. SDN has a lot of capabilities that were absent in traditional networks. ...
  • Emotions Extraction from Urdu Speech Using Different Linguistic Features 
    Wasiq Hussain Khan, 01-241171-032 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Natural Language Processing (NLP) is the study of Machine & Human interaction and to resolve ambiguity where Natural Language is rich in its structure, form and ambiguity. Natural Language is not just a combination of ...
  • Twitter Sentiment Analysis in Urdu Language 
    Nazia Aftab, 01-241172-037 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    It’s a natural human ability to understand emotions and analyze situations. But the effectiveness with which machines can be trained to demonstrate the same human phenomenon becomes an important question to be explored. ...
  • ANALYSIS OF STUNTED STUDENTS FROM PRIMARY GRADE LEARNER USING BATTERY BASED ADAPTIVE ACHIEVEMENT TEST 
    Sohail Javed, 01-241181-024 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Stunting is psychological and physiological disorder caused by nutritional intake and health care condition resulting impaired cognition and low academic achievement. Blended learning is a form of education which encourages ...
  • DRIVER’S CHURN PREDICTION AND PREVENTION IN RIDE HAILING INDUSTRY USING PREDICTIVE MODELING TECHNIQUES 
    Javeria Noor, 01-241172-050 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Churn Prediction uses data mining techniques to facilitate companies in consumer retention. The purpose of this thesis research is to study prediction classifiers used in data mining and apply them in case of ride-hailing ...
  • FAKE NEWS DETECTION IN URDU LANGUAGE FROM SOCIAL MEDIA USING DEEP LEARNING MODEL 
    Mehwish Yaqoob, 01-241171-039 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    This thesis presents a framework for fake news detection from the social media platform.The data is extracted from Twitter because it is one of the largest social platforms that promote news rapidly. Mostly the news ...

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