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102 results on '"Vahidi-Asl, Mojtaba"'

3. Malfustection: Obfuscated Malware Detection and Malware Classification with Data Shortage by Combining Semi-Supervised and Contrastive Learning

Author

Maghouli, Mohammad Mahdi, Fereydooni, Mohamadreza, Abdoos, Monireh, and Vahidi-Asl, Mojtaba

Subjects
Computer Science - Cryptography and Security
Abstract

With the advent of new technologies, using various formats of digital gadgets is becoming widespread. In today's world, where everyday tasks are inevitable without technology, this extensive use of computers paves the way for malicious activity. As a result, it is important to provide solutions to defend against these threats. Malware is one of the well-known and widely used means utilized for doing destructive activities by malicious attackers. Producing malware from scratch is somewhat difficult, so attackers tend to obfuscate existing malware and prepare it to become an unrecognizable program. Since creating new malware from an old one using obfuscation is a creative task, there are some drawbacks to identifying obfuscated malwares. In this research, we propose a solution to overcome this problem by converting the code to an image in the first step and then using a semi-supervised approach combined with contrastive learning. In this case, an obfuscation in the malware bytecode corresponds to an augmentation in the image. Hence, by utilizing meaningful augmentations, which simulate some obfuscation changes and combine them to generate complex ambiguity procedures, our proposed solution is able to construct, learn, and detect a wide range of obfuscations. This work addresses two issues: 1) malware classification despite the data deficiency and 2) obfuscated malware detection by training on non-obfuscated malwares. According to the results, the proposed method overcomes the data shortage problem in malware classification, as its accuracy is 90.1% when just 10% of data is used for training the model. Moreover, training on basic malwares without obfuscation achieved 96.21 percent accuracy in detecting obfuscated malware., Comment: We are changing the method

Published
2021

10. An Approach to Generate Effective Fault Localization Methods for Programs

Author

Bagheri, Babak, Rezaalipour, Mohammad, Vahidi-Asl, Mojtaba, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hojjat, Hossein, editor, and Massink, Mieke, editor

Published
2019
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11. Greenify: A Game with the Purpose of Test Data Generation for Unit Testing

Author

Moosavi, Sharmin, Haghighi, Hassan, Sahabi, Hasti, Vatanzade, Farzam, Vahidi Asl, Mojtaba, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hojjat, Hossein, editor, and Massink, Mieke, editor

Published
2019
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13. Identifying and Modeling Factors Affecting Success or Failure of Gamification in Organizational Training

Author

Vahidi-Asl, Mojtaba, Jaafari-Far, Zohre, Aghazadeh-Par, Faezeh, and Haji Zeinolabedini, Mohsen

Subjects
B. Information use and sociology of information, G. Industry, profession and education.
Abstract

The importance of training in organizations cannot be overlooked. This has motivated organizational decision-makers to look for new ways for achieving proper training in order to reach their organizational goals. Nowadays, one of new approaches to realize the training and gaining an effective output is gamification. Many factors can influence the use of this new approach in organizational training. Therefore, the present research seeks to identify and model the factors affecting on success and failure of gamification in organizational training. Accordingly, qualitative research method is used in this research. Also, three processes is conducted to collect data needed to answer the research question. In the first step, semi-structured interview is used to identify the factors affecting on gamification of organizational training. In the second step, the Interactive Management (IM) method is used to identify and extract the most important factors among the identified factors of the previous step. Finally, Interpretive Structural Modelling (ISM) software was used to model the factors and determine the causal relationships among them. The results demonstrate seven important factors which are respectively staff demographic characteristics, availability of infrastructure and facilities, staff information literacy, staff attitudes toward gamification, management attitudes towards gamification, gradual inclusion of gamification in the training process, and rich (learning) content. At the end, the research findings have been discussed.

Published
2020

21. Ravi: A formal framework for authoring interactive narratives.

Author

Amiri-Chimeh, Saeed, Haghighi, Hassan, and Vahidi-Asl, Mojtaba

Subjects
DEBUGGING, IMMERSIVE design, NARRATIVES, DIGITAL storytelling
Abstract

In interactive narratives, the progress of the story is not pre-determined by the author. In other words, the player takes an active role in deciding how the story should unfold. To design an immersive interactive narrative, authors have to deal with an inevitable degree of complexity. Therefore, developing authoring tools to help authors create more complex interactive narratives is valuable. In this regard, different authoring systems have been proposed in the past. However, only a few of them are designed atop a rigorous formal foundation. One of the less explored potentials of such a foundation is improving narrative validation capabilities. In this paper, we introduce a novel framework for authoring interactive narratives. This framework provides a formal foundation for modelling and validating interactive narratives. We report on two case studies to show the capacity of the proposed framework. Also, we conducted a user study to examine the proposed framework with regard to narrative debugging and validation. Case studies demonstrated the capacity of the proposed framework for modelling different types of narratives. Moreover, the user study showed that the proposed framework facilitates assertion checking and debugging. [ABSTRACT FROM AUTHOR]

Published
2023
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23. Statistical Debugging Using a Hierarchical Model of Correlated Predicates

Author

Parsa, Saeed, Asadi-Aghbolaghi, Maryam, Vahidi-Asl, Mojtaba, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Deng, Hepu, editor, Miao, Duoqian, editor, Lei, Jingsheng, editor, and Wang, Fu Lee, editor

Published
2011
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24. A Heuristic Test Data Generation Approach for Program Fault Localization

Author

Parsa, Saeed, PorShokooh, Hamid Rafati, Teymouri, Saman, Vahidi-Asl, Mojtaba, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Deng, Hepu, editor, Miao, Duoqian, editor, Lei, Jingsheng, editor, and Wang, Fu Lee, editor

Published
2011
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25. Fuzzy Clustering the Backward Dynamic Slices of Programs to Identify the Origins of Failure

Author

Parsa, Saeed, Zareie, Farzaneh, Vahidi-Asl, Mojtaba, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Pardalos, Panos M., editor, and Rebennack, Steffen, editor

Published
2011
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26. Finding Discriminative Weighted Sub-graphs to Identify Software Bugs

Author

Parsa, Saeed, Arabi, Somaye, Ebrahimi, Neda, Vahidi-Asl, Mojtaba, Das, Vinu V, editor, Vijayakumar, R., editor, Debnath, Narayan C., editor, Stephen, Janahanlal, editor, Meghanathan, Natarajan, editor, Sankaranarayanan, Suresh, editor, Thankachan, P. M., editor, Gaol, Ford Lumban, editor, and Thankachan, Nessy, editor

Published
2010
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27. Introducing a New Predicate Network Model Constructed Based on Null Hypothesis Testing for Software Fault Localization

Author

Parsa, Saeed, Peyvandi-Pour, Azam, Vahidi-Asl, Mojtaba, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhu, Rongbo, editor, Zhang, Yanchun, editor, Liu, Baoxiang, editor, and Liu, Chunfeng, editor

Published
2010
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31. Critical meta-analysis of problem-solving serious games: Clear signs of pedagogists' disengagement and over-optimistic expectations.

Author

Mohaqeqian, Razieh, Rezaei-Zadeh, Morteza, and Vahidi-Asl, Mojtaba

Subjects
PROBLEM solving, CHOICE (Psychology), CRITICAL thinking, LIFE skills, COMPARATIVE method
Abstract

Problem-solving is placed at top of the ten most important life skills recommended by World Economic Forum. Serious game has been one of the dominant tools for educating people in different subjects over the last 10 years. This study aims to critically analyse previous empirical studies conducted on Problem-Solving Serious Games (PSSG). Using Constant Comparative Method (CCM) framework, 737 studies in this area are listed; and after applying several filters, 36 studies are refined and finally chosen. The analysis shows that serious games not alone improve people's problem-solving ability, it also positively impacts on their problem-solving motivation, problem-solving measurement ability, critical thinking, and learning attitude. However, there is a lack of pedagogists' engagement with PSSG studies. As a result, those studies suffered from lack of educational rationale behind and lack of right direction in choosing their participants, research methods, focus, genre, and expected outputs. Theoretical and practical implications of this critical analysis are outlined at the end of this paper, shedding light on the future directions of PSSG studies. the main conclusions of this study are as following: 1. An inter-disciplinary approach led by pedagogists is needed to design, develop, and examine PSSGs effectively. 2. The over-optimistic viewpoint about serious games in general and PSSGs in specific should be moderated by looking more closely at the negative marginal and side effects of implementing these games on gamers. [ABSTRACT FROM AUTHOR]

Published
2023
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32. Gamifault: A Gamified Motivational Approach to Make Software Debugging an Attractive Process.

Author

Mousavi Esfahani, Shahrzad Sadat, Vahidi-Asl, Mojtaba, Khalilian, Alireza, Alikhani, Parastoo, and Abhari, Bardia

Subjects
DEBUGGING, COMPUTER software, INFORMATION sharing, INTERNET security, HUMAN security
Abstract

The released software systems still involve some faults, for which debugging becomes necessary. On the one hand, manual software debugging remains an arduous, time-consuming, and expensive task. On the other hand, effective software debugging is organized around motivated and patient developers. In this paper, a novel approach, namely Gamifault, is provided to make debugging more attractive and enjoyable. Particularly, the objective of Gamifault is to make the developer more curious to proceed debugging, that is fault localization and program repair, enthusiastically. To achieve this objective, the concepts and potentials of gamification are adapted to the typical tasks of software debugging. In particular, Gamifault makes use of an existing fault localization technique to determine the likelihood to each statement may be faulty. Based on the likelihood, the developer then attempts to find the exact fault location and fix the fault. Next, Gamifault reacts to the developer with a gamified success rate. That is, it shows the number of test cases that have been passed on the modified program. This process is repeated until the program passes on every given test case. To evaluate Gamifault, a prototype web-based tool was implemented in Java that targets faulty software programs. Then, 16 developers were asked to employ gamified and non-gamified versions of the tool in their debugging activities on 46 subject programs taken from the Code4Bench suite of programs. Developers could successfully debug 7 and 95 faulty programs using the non-gamified and gamified tools, respectively. In addition, the gamified tool helped developers debug the faulty program in less than two minutes on average. These results suggest that Gamifault offers advantages over existing debugging systems. [ABSTRACT FROM AUTHOR]

Published
2023
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35. Emergency Department Quality Dashboard; a Systematic Review of Performance Indicators, Functionalities, and Challenges

Author

Almasi, Sohrab, Rabiei, Reza, Moghaddasi, Hamid, and Vahidi-Asl, Mojtaba

Subjects
Emergency service, hospital, systematic review, RC86-88.9, Original Article, Medical emergencies. Critical care. Intensive care. First aid, quality indicators, data management, hospital, InformationSystems_MISCELLANEOUS, health care, quality indicators, health care, Emergency service
Abstract

Introduction: Effective information management in the emergency department (ED) can improve the control and management of ED processes. Dashboards, known as data management tools, efficiently provide information and contribute greatly to control and management of ED. This study aimed to identify performance indicators and quality dashboard functionalities, and analyze the challenges associated with dashboard implementation in the ED. Methods: This systematic review began with a search in four databases (Web of Science, PubMed, Embase, and Scopus) from 2000 to May 30, 2020, when the final search for papers was conducted. The data were collected using a data extraction form and the contents of the extracted papers were analyzed through ED performance indicators, dashboard functionalities, and implementation challenges. Results: Performance indicators reported in the reviewed papers were classified as the quality of care, patient flow, timeliness, costs, and resources. The main dashboard functionalities noted in the papers included reporting, customization, alert creation, resource management, and real-time information display. The dashboard implementation challenges included data sources, data quality, integration with other systems, adaptability of dashboard functionalities to user needs, and selection of appropriate performance indicators. Conclusions: Quality dashboards facilitate processes, communication, and situation awareness in the ED; hence, they can improve care provision in this department. To enhance the effectiveness and efficiency of ED dashboards, officials should set performance indicators and consider the conformity of dashboard functionalities with user needs. They should also integrate dashboards with other relevant systems at the departmental and hospital levels.

Published
2021

36. Online_supp - The attributes of hospital-based coronary artery diseases registries with a focus on key registry processes: A systematic review

Author

Garavand, Ali, Rabiei, Reza, Emami, Hassan, Pishgahi, Mehdi, and Vahidi-Asl, Mojtaba

Subjects
111708 Health and Community Services, 111799 Public Health and Health Services not elsewhere classified, FOS: Health sciences
Abstract

Online_supp for The attributes of hospital-based coronary artery diseases registries with a focus on key registry processes: A systematic review by Ali Garavand, Reza Rabiei, Hassan Emami, Mehdi Pishgahi and Mojtaba Vahidi-Asl in Health Information Management Journal

Published
2020
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47. Designing the Coronary Artery Disease Registry with Data Management Processes Approach: A Comparative Systematic Review in Selected Registries.

Author

Garavand, Ali, Emami, Hassan, Rabiei, Reza, Pishgahi, Mehdi, and Vahidi-Asl, Mojtaba

Subjects
CORONARY heart disease risk factors, CORONARY heart disease treatment, COMPARATIVE studies, CORONARY disease, DATABASE management, CLINICAL pathology, REPORTING of diseases, ELECTROCARDIOGRAPHY, HEALTH status indicators, PATIENT aftercare, POPULATION geography, RISK assessment, OPERATIVE surgery, VITAL signs, SYSTEMATIC reviews, SEARCH engines, DISCHARGE planning, ELECTRONIC health records
Abstract

Context: The use of registries to Coronary Artery Disease (CAD) data management plays an important role in the improvement of healthcare processes and reduction of outcomes for patients and healthcare providers. The present study aimed to compare the data management processes of CAD registries in the selected countries. Evidence Acquisition: This review study was conducted comparatively in 2019. After selecting countries based on some criteria, the required data were collected by searching valid databases, more useful search engines, and related websites to CAD registries for the selected countries as well as by sending E-mails containing a data extraction form to the related organizations. Results: Totally, five registries were chosen in the selected countries as follows: CADOSA (Australia), APPROACH (Canada), START (Italy), CLARIFY (Spain), and GWTG-CAD (US). The results showed that 60% of the selected registries made use of the electronic case report form for data gathering. The main data elements included demographic and general information, risk factors, vital sings, medication, laboratory tests results, examination results, ECG results, invasive measures and interventions, patient's status on discharge, results of follow-ups, and post-discharge outcomes. Conclusion: Developing CAD registries based on the data management principles provides the context to conduct cohort studies with very low costs. With regard to the study results, attention should be paid to data management processes, include data gathering, data processing, and information distribution, in development of CAD registries. [ABSTRACT FROM AUTHOR]

Published
2020

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