• Value Cognizant Test Case Prioritization for Regression Testing Using Integration Based Test Data 

  Faiza Asad, 01-241212-017 (Software Engineering, Bahria University Engineering School Islamabad, 2024)

  Test case prioritization (TCP) techniques are beneficial in regression testing tasks as they allow us to find test cases of high priority based on test data and metrics of previous executions. Existing TCP approaches can ...
• Android Malware Detection Using Dynamic Feature Analysis 

  Sadia Rashid, 01-241211-009 (Software Engineering, Bahria University Engineering School Islamabad, 2024)

  Android is a widely used operating system but with its success, it also faces issues with malware threats. With advanced technology, malware is also becoming complex making it challenging to detect. Android malware detection ...
• Business Value-based Requirement For Test Case Prioritization Using Reinforcement Learning 

  Zobia Jabeen Akhtar, 01-241212-016 (Software Engineering, Bahria University Engineering School Islamabad, 2023)

  Testing is a cost-intensive process whereas regression testing is used to find out if there is a regression in a post-evolution or post-maintenance scenario. It is expensive to run all test cases for regression testing and ...
• Usability Engineering Framework For Evaluating Education Management Systems 

  Usman Ali, 01-241202-021 (Software Engineering, Bahria University Engineering School Islamabad, 2023)

  Software usability is a critical factor in the success and acceptance of software systems. As user expectations shift towards more usable and emotionally satisfactory experiences, evaluating the usability of software systems ...
• Evaluation Of Usability And User Engagement Factors Preferable For Mobile Games 

  Shabana Shahbaz, 01-241211-010 (Software Engineering, Bahria University Engineering School Islamabad, 2023)

  The crucial elements in games are fun, incentive, involvement, and user engagement. Designers should, therefore, always seek out the most effective methods and strategies to maintain players' motivation and passion for the ...
• Web and Network Vulnerability analysis Using Deep Learning 

  Sania Kanwal, 01-241202-012 (Software Engineering, Bahria University Engineering School Islamabad, 2023)

  Web applications and networks are part of everybody's life regarding online business, education, and social networks. Web and Network security is an important research topic to secure the internet against hacking attacks. ...
• Autism Spectrum Disorder Detection In Early Ages Using Automated Machine Learning 

  Khafsa Ehsan, 01-241211-003 (Software Engineering, Bahria University Engineering School Islamabad, 2023)

  Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by a diverse range of symptoms and levels of ability. Detection of ASD at early ages is desirable as it allows for early intervention, which ...
• Urdu Topic Modeling Using Transformer-Based Attention Networks 

  Sabia Khan, 01-241211-008 (Software Engineering, Bahria University Engineering School Islamabad, 2023)

  Urdu, the national language of Pakistan and the one of the most widely spoken languages of the Indian sub-continent, is considered a Low-Resourced Language owing to the lack of digital resources available. There are different ...
• Predicting Students Performance By Analyzing Their Behavior In E-Learning Systems Through Interaction Pattern Mining 

  Hira Saleem, 01-241202-018 (Software Engineering, Bahria University Engineering School Islamabad, 2023)

  This study focuses on interaction pattern mining within students' learning trajectories and addresses the impact of student interaction patterns on their performance in e-learning courses. Typically, instructors structure ...
• ANOMALY DETECTION IN VIDEO FOOTAGE OF VTSS USING DEEP LEARNING 

  Sardar Waqar Khan, 01-241172-060 (Software Engineering, Bahria University Engineering School Islamabad, 2019)

  From Past few years, the vast numbers of cameras are installed in various public and private areas for security, monitoring abnormal human activities, and traffic. The detection and recognition of abnormal activity in a ...
• QUESTION GENERATION FROM KNOWLEDGE GRAPH WITH PRESCRIBED DIFFICULTY LEVEL 

  Warda Rizwan, 01-241171-041 (Software Engineering, Bahria University Engineering School Islamabad, 2019)

  Automatic question generation in Knowledge Graphs (KG) is a novel idea. KG is the graphical representation of knowledge bases where knowledge base is world knowledge. Intelligent Tutoring System (ITS) is a computer program ...
• Robust Visual Object Tracking 

  Muhammad Faisal Bashir, 01-241172-013 (Software Engineering, Bahria University Engineering School Islamabad, 2019)

  It is very easy for humans to recognize the object and to follow it till their sight range, but with the advancement of technology, we want to take this work through machines so that we can get better results according ...
• A Conceptual Framework for Blockchain Based Land Registry Systems 

  Muhammad Irfan Khalid, 01-241172-038 (Software Engineering, Bahria University Engineering School Islamabad, 2019)

  Research community in blockchain has been working on development of efficient, secure and reliable decentralized systems. While many centralized systems exist, building an efficient, secure and decentralized system is a ...
• An Empirical Approach for cost effectiveness of requirements management and critical factors in Agile 

  Mehreen Aftab, 01-241172-007 (Software Engineering, Bahria University Engineering School Islamabad, 2019)

  Requirements management is an extensive, exhaustive process comprising of many stages within it. Why requirements are so pivotal, it’s because of their crucial worth that is requirements act as a baseline of any project. ...
• ENERGY CONSUMPTION FORECASTING BY GREY PREDICTION MODELS AND ARTIFICIAL NEURAL NETWORKS IN A GREY SYSTEM: A COMPARATIVE ANALYSIS 

  Faizan Zafar, 01-241172-036 (Software Engineering, Bahria University Engineering School Islamabad, 2019)

  Forecasting energy consumption for short-term to make better decisions is becoming one of the basic needs for all industries. For this purpose many Machine Learning techniques are being used. More prominent and widely ...
• A COMPARATIVE ANALYSIS OF DATA AUGMENTATION APPROACHES FOR MRI SCAN IMAGES OF BRAIN TUMOR 

  Muhammad Farhan Safdar, 01-241172-014 (Software Engineering, Bahria University Engineering School Islamabad, 2019)

  Machine Learning (ML) is a rapidly growing subfield of Artificial Intelligence (AI). It is used for different purposes in our daily life such as face recognition, speech recognition, text translation in different languages, ...
• ROLE OF SSLA IN USER MIGRATION 

  UBAID BIN ZAFAR, 01-241172-057 (Software Engineering, Bahria University Engineering School Islamabad, 2019)

  In this present era, people are socially quite active. Thus, the average usage of Social Networking Services (SNSs) is increasing day by day. As there exist hundreds and thousands of such sites, so it's not uncommon to ...
• Automatic classification of Cardiac Ischemia through Principle Component Analysis and Artificial Neural Network 

  Ali Haider, 01-241172-048 (Software Engineering, Bahria University Engineering School Islamabad, 2019)

  Accurate detection of cardiac ischemia is very crucial stage of Electrocardiogram (ECG) for diagnosis and treatment of cardiac arrhythmia. ECG when done manually can take a lot of time if there is a large amount of data ...
• MULTI SENSOR DATA FUSION 

  Waqar Khalid, 01-241172-032 (Software Engineering, Bahria University Engineering School Islamabad, 2019)

  The objective of our research is to design a multi radar data fusion algorithm which accepts the input from multiple disparate radars and fuse them to generate a precise and reliable picture for air traffic controllers. ...
• A Framework to Detect Hate Speech in the Pashto Language from Social Media 

  Aftab Alam Janisar, 01-241171-002 (Software Engineering, Bahria University Engineering School Islamabad, 2019)

  From the last few years, researchers are very much attracted to sentiment analysis and especially towards hate speech detection because in other different languages procreation of hate speech has compelling and symbolic ...

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