Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672723
Souha El Katat, A. Kalakech, Mariam Kalakech, D. Hamad
Fighting poverty is one of the main objectives of sustainable development program. In a country like Lebanon, where poverty is a real threat and hidden under a good living looking, the situation should be explored in depth. This paper aims to evaluate the position of Lebanon compared to other Middle East countries in sustainable development. Furthermore, our goal is to reveal the power and weaknesses of resources management, based on income and non-income indicators retrieved from World data bank. For this purpose, we adopted a combination of data mining techniques as tools to study the relationship between these indicators. The K-means clustering technique is used to define the different levels of living. In order to extract the most relevant non-income indicators to our study, information gain as feature selection technique was applied. Finally, KNN classification technique was used for the predicting model.
{"title":"A Comparative Study Between Lebanon and Middle East Countries Based on Data Mining Techniques","authors":"Souha El Katat, A. Kalakech, Mariam Kalakech, D. Hamad","doi":"10.1109/ACIT.2018.8672723","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672723","url":null,"abstract":"Fighting poverty is one of the main objectives of sustainable development program. In a country like Lebanon, where poverty is a real threat and hidden under a good living looking, the situation should be explored in depth. This paper aims to evaluate the position of Lebanon compared to other Middle East countries in sustainable development. Furthermore, our goal is to reveal the power and weaknesses of resources management, based on income and non-income indicators retrieved from World data bank. For this purpose, we adopted a combination of data mining techniques as tools to study the relationship between these indicators. The K-means clustering technique is used to define the different levels of living. In order to extract the most relevant non-income indicators to our study, information gain as feature selection technique was applied. Finally, KNN classification technique was used for the predicting model.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126244873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672688
O. Dorgham, Mohammadiha Nasser, M. Ryalat, Ammar Almomani
Automatic segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT) and Magnetic resonance (MR) imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatment planning. This paper proposed an unsupervised and automatic estimation of the required parameters for identifying the region of interest. The proposed methodology consists of four steps executed sequentially: First, a body region of interest is masked by a method based on Otsu thresholding and basic morphological operations. Second, a distance transformation is performed then results of distance transform function are normalized. Next, watershed marker-controlled identifications are performed by extract internal and external marker. Finally, the region of interest is identified and segmented according the resulted boundaries. According to the visual evaluation results, segmentation of the human body, from the Computed Tomography images, was seen to be precise and accurate (as confirmed by a specialist). The analysis provided evidence that the human body segmentation method could be applied to segmenting other organs, registering different image modalities or speeding-up the generation of digitally reconstructed radiographs.
{"title":"Proposed Method for Automatic Segmentation of Medical Images","authors":"O. Dorgham, Mohammadiha Nasser, M. Ryalat, Ammar Almomani","doi":"10.1109/ACIT.2018.8672688","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672688","url":null,"abstract":"Automatic segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT) and Magnetic resonance (MR) imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatment planning. This paper proposed an unsupervised and automatic estimation of the required parameters for identifying the region of interest. The proposed methodology consists of four steps executed sequentially: First, a body region of interest is masked by a method based on Otsu thresholding and basic morphological operations. Second, a distance transformation is performed then results of distance transform function are normalized. Next, watershed marker-controlled identifications are performed by extract internal and external marker. Finally, the region of interest is identified and segmented according the resulted boundaries. According to the visual evaluation results, segmentation of the human body, from the Computed Tomography images, was seen to be precise and accurate (as confirmed by a specialist). The analysis provided evidence that the human body segmentation method could be applied to segmenting other organs, registering different image modalities or speeding-up the generation of digitally reconstructed radiographs.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114832449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672682
A. Qusef, Majid Hassan
The regular expression is a method to describe strings that conform to a pattern. The need to use regular expressions arise to deal with strings which have a specific pattern such as a user input string, formatted data, and computer programs code elements. In this paper, the authors intend to establish a framework that aims to improve the quality control process to prove that the source code meets standards using a regular expressions. The framework extracts the code from the files then determines if the written code is following the company's own coding standards. The proposed framework covers the naming convention standards, data types utilizations, undesired programming language commands and keywords, hardcoded literals usage, and as well as the business dictionary tags compliance. The short achieved results shows the effectiveness of regular expressions to figure out the compliance of the source code with the standards rules set.
{"title":"Power of Using Regular Expression Patterns in Software Coding Standards Quality Control","authors":"A. Qusef, Majid Hassan","doi":"10.1109/ACIT.2018.8672682","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672682","url":null,"abstract":"The regular expression is a method to describe strings that conform to a pattern. The need to use regular expressions arise to deal with strings which have a specific pattern such as a user input string, formatted data, and computer programs code elements. In this paper, the authors intend to establish a framework that aims to improve the quality control process to prove that the source code meets standards using a regular expressions. The framework extracts the code from the files then determines if the written code is following the company's own coding standards. The proposed framework covers the naming convention standards, data types utilizations, undesired programming language commands and keywords, hardcoded literals usage, and as well as the business dictionary tags compliance. The short achieved results shows the effectiveness of regular expressions to figure out the compliance of the source code with the standards rules set.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122895658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672702
K. Allaw, Layla Al-Shami
It is important to reduce the human influence on nature resources by identifying an appropriate land use. Moreover, it is essential to carry out scientific land evaluation. Such kind of analysis allows identifying the main factors for agricultural production and enables decision makers to develop crop managements in order to increase the land capability. The key is to match the type of intensity of land use with its natural capability. Therefore; in order to benefit from these areas and invest them to obtain good agricultural production, they must be organized and managed in full. Lebanon suffers from the unorganized agricultural use. We take South Lebanon as a study area; it is the most fertile ground and has a variety in crops. The study aims to identify and locate the most suitable area to cultivate thirteen types of permanent trees which are: apples, avocadoes, stone fruits in coastal regions and stone fruits in mountain regions, bananas, citrus, loquats, figs, pistachios, mangoes, olives, pomegranates and grapes. Several geographical factors are taken as criterion for selection of the best location to cultivate. Soil, rainfall, PH, temperature, and elevation, are main input to create final map. Input data of each factor is managed, visualized and analyzed using Geographical Information System (GIS). Managements GIS tools were implemented to produce input maps capable of identifying suitable areas related to each index. The combination of the different indices map generates the final output map of the suitable place to get best permanent tree productivity. The output map is reclassified into three suitability classes: low, moderate, and high suitability. Results show different locations suitable for different kinds of trees. Results also reflected the importance of GIS in helping decision makers finding a most suitable location for every tree to get more productivity and a verity in crops.
{"title":"Geographic Information System-Based Map for Agricultural Management in South-Lebanon","authors":"K. Allaw, Layla Al-Shami","doi":"10.1109/ACIT.2018.8672702","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672702","url":null,"abstract":"It is important to reduce the human influence on nature resources by identifying an appropriate land use. Moreover, it is essential to carry out scientific land evaluation. Such kind of analysis allows identifying the main factors for agricultural production and enables decision makers to develop crop managements in order to increase the land capability. The key is to match the type of intensity of land use with its natural capability. Therefore; in order to benefit from these areas and invest them to obtain good agricultural production, they must be organized and managed in full. Lebanon suffers from the unorganized agricultural use. We take South Lebanon as a study area; it is the most fertile ground and has a variety in crops. The study aims to identify and locate the most suitable area to cultivate thirteen types of permanent trees which are: apples, avocadoes, stone fruits in coastal regions and stone fruits in mountain regions, bananas, citrus, loquats, figs, pistachios, mangoes, olives, pomegranates and grapes. Several geographical factors are taken as criterion for selection of the best location to cultivate. Soil, rainfall, PH, temperature, and elevation, are main input to create final map. Input data of each factor is managed, visualized and analyzed using Geographical Information System (GIS). Managements GIS tools were implemented to produce input maps capable of identifying suitable areas related to each index. The combination of the different indices map generates the final output map of the suitable place to get best permanent tree productivity. The output map is reclassified into three suitability classes: low, moderate, and high suitability. Results show different locations suitable for different kinds of trees. Results also reflected the importance of GIS in helping decision makers finding a most suitable location for every tree to get more productivity and a verity in crops.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130192632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672694
Raffi Al-Qurran, M. Al-Ayyoub, A. Shatnawi
Datasets specialized in wildlife usually contain imbalanced classes of natural wild images such as, for instance, plant images, which are acquired from the surrounding environment with natural scene background. Deep neural networks have proven their efficiency in classifying such datasets. However, such an approach requires a workaround to approximately balance the classes in order to prevent the occurrence of overfitting during the training phase of the neural network. Many approaches exist to overcome this problem includes over-sampling, undersampling, generating synthetic samples, data augmentation, etc. The iNaturalist species classification and detection dataset represents a good example of vastly imbalanced datasets. It contains 13 superclasses. This work focuses on the Plantae superclass and builds a Convolutional Neural Network to distinguish a subset of the subclasses of Plantae. Our model benefits from cutting-edge techniques such as transfer learning and data augmentation to obtain a reasonably high level of accuracy (78.76%).
{"title":"Plant Classification in the Wild: A Transfer Learning Approach","authors":"Raffi Al-Qurran, M. Al-Ayyoub, A. Shatnawi","doi":"10.1109/ACIT.2018.8672694","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672694","url":null,"abstract":"Datasets specialized in wildlife usually contain imbalanced classes of natural wild images such as, for instance, plant images, which are acquired from the surrounding environment with natural scene background. Deep neural networks have proven their efficiency in classifying such datasets. However, such an approach requires a workaround to approximately balance the classes in order to prevent the occurrence of overfitting during the training phase of the neural network. Many approaches exist to overcome this problem includes over-sampling, undersampling, generating synthetic samples, data augmentation, etc. The iNaturalist species classification and detection dataset represents a good example of vastly imbalanced datasets. It contains 13 superclasses. This work focuses on the Plantae superclass and builds a Convolutional Neural Network to distinguish a subset of the subclasses of Plantae. Our model benefits from cutting-edge techniques such as transfer learning and data augmentation to obtain a reasonably high level of accuracy (78.76%).","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130153619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672666
Ali Haroun, A. Rashid, Jamal Haydar
This paper presents a novel architecture of a soft MIMO detector. The proposed architecture is composed of a first block in charge of the calculation of the Euclidean distances. The second one is dedicated to the exchange of information inside the detector over a larger Joint Factor Graph. Thanks to an appropriate parallelism level, the associated architecture enables efficient exchanges of information. Therefore, it promotes a good trade-off between error rate performance and computational complexity which leads to decrease the latency of such receivers.
{"title":"Implementation of a Belief Propagation Detector for an Iterative MIMO Receiver","authors":"Ali Haroun, A. Rashid, Jamal Haydar","doi":"10.1109/ACIT.2018.8672666","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672666","url":null,"abstract":"This paper presents a novel architecture of a soft MIMO detector. The proposed architecture is composed of a first block in charge of the calculation of the Euclidean distances. The second one is dedicated to the exchange of information inside the detector over a larger Joint Factor Graph. Thanks to an appropriate parallelism level, the associated architecture enables efficient exchanges of information. Therefore, it promotes a good trade-off between error rate performance and computational complexity which leads to decrease the latency of such receivers.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123279614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672700
Ali A. Abdallah
3D web-based applications started to appear a long time ago thanks for the great conversion of the web browsers into a full runtime environment. Building up an adaptive 3D web-based shape modelling environment enables us to design platform independent 3D objects in a collaborative manner, yet delivering 3D models into different clients with different platforms while maintaining a convincing model quality is a difficult job. In this paper, we explore the crucial issues of rendering heterogeneous volumes in real-time. We focus on implementing a suitable rendering environment that can serve clients with different platform devices. Our case study relies on a client-server adaptive architecture, supported by different rendering techniques, and allows real-time modelling and rendering. Our goal is to create a web-based modelling and rendering environment which supports different rendering approaches that suit a various range of users. We identify the concepts and techniques used to implement such a real-time rendering environment and we present experiments and results based on different rendering techniques.
{"title":"Real-Time Heterogeneous Volume Modelling and Rendering Environment","authors":"Ali A. Abdallah","doi":"10.1109/ACIT.2018.8672700","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672700","url":null,"abstract":"3D web-based applications started to appear a long time ago thanks for the great conversion of the web browsers into a full runtime environment. Building up an adaptive 3D web-based shape modelling environment enables us to design platform independent 3D objects in a collaborative manner, yet delivering 3D models into different clients with different platforms while maintaining a convincing model quality is a difficult job. In this paper, we explore the crucial issues of rendering heterogeneous volumes in real-time. We focus on implementing a suitable rendering environment that can serve clients with different platform devices. Our case study relies on a client-server adaptive architecture, supported by different rendering techniques, and allows real-time modelling and rendering. Our goal is to create a web-based modelling and rendering environment which supports different rendering approaches that suit a various range of users. We identify the concepts and techniques used to implement such a real-time rendering environment and we present experiments and results based on different rendering techniques.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121441032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672668
Yassine Dabachine, B. Bouikhalene, A. Balouki
The air traffic ground movement management is a main problem for airports. The best optimization of ground movements would reduce flight delays and overall travel costs. This article proposes a new routing algorithm to provide the shortest route based on three algorithms that allow a good planning of ground movements. These three algorithms are iterative: they allow you to plan the trajectory of an aircraft one after the other. The three algorithms are guaranteed as a real-time decision support tool for air traffic controllers, but they each have strengths and weaknesses. A first version is described using the classic Dijkstra algorithm, then the classic Dijkstra version has been extended by a bidirectional version. Both algorithms provide an optimal solution, but the cost of computing time remains relatively long despite an improvement with the use of bidirectional Dijkstra. A third A* algorithm is used. The limitation of this one being that it does not guarantee an optimal solution despite a faster calculation time cost. To eliminate the weaknesses of each algorithm studied, a new Hybrid A* algorithm is therefore presented here. It integrates the advantages of each algorithm to reduce computation time and optimize the search for the shortest path while maintaining a minimum execution time to ensure the feasibility of planned trajectories in a reduced time. This model has been expanded to address the feasibility of planned trajectories while avoiding conflicts between aircraft and evaluated on the model of Casablanca airport Med V.
{"title":"Bidirectional Search Algorithm for Airport Ground Movement","authors":"Yassine Dabachine, B. Bouikhalene, A. Balouki","doi":"10.1109/ACIT.2018.8672668","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672668","url":null,"abstract":"The air traffic ground movement management is a main problem for airports. The best optimization of ground movements would reduce flight delays and overall travel costs. This article proposes a new routing algorithm to provide the shortest route based on three algorithms that allow a good planning of ground movements. These three algorithms are iterative: they allow you to plan the trajectory of an aircraft one after the other. The three algorithms are guaranteed as a real-time decision support tool for air traffic controllers, but they each have strengths and weaknesses. A first version is described using the classic Dijkstra algorithm, then the classic Dijkstra version has been extended by a bidirectional version. Both algorithms provide an optimal solution, but the cost of computing time remains relatively long despite an improvement with the use of bidirectional Dijkstra. A third A* algorithm is used. The limitation of this one being that it does not guarantee an optimal solution despite a faster calculation time cost. To eliminate the weaknesses of each algorithm studied, a new Hybrid A* algorithm is therefore presented here. It integrates the advantages of each algorithm to reduce computation time and optimize the search for the shortest path while maintaining a minimum execution time to ensure the feasibility of planned trajectories in a reduced time. This model has been expanded to address the feasibility of planned trajectories while avoiding conflicts between aircraft and evaluated on the model of Casablanca airport Med V.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132036001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672579
Alain Aoun, A. Kassem, M. Hamad
Without sunlight there's no life, and without light there's no well-being. Using daylight means saving energy, because daylight is free and is often available in sufficient quantities. It's important to create and find the best techniques to maximize the use of this energy. Since the sun's position in the sky varies according to seasons and time of day, sun simulators are thus important in showcasing the sun's different positions. This paper introduces a sun stimulator system that can be physically built, in which users would enter a specific location on earth and a simulation of the sun's position would be generated according to date and time of year.
{"title":"Sun Stimulator for Daylight System","authors":"Alain Aoun, A. Kassem, M. Hamad","doi":"10.1109/ACIT.2018.8672579","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672579","url":null,"abstract":"Without sunlight there's no life, and without light there's no well-being. Using daylight means saving energy, because daylight is free and is often available in sufficient quantities. It's important to create and find the best techniques to maximize the use of this energy. Since the sun's position in the sky varies according to seasons and time of day, sun simulators are thus important in showcasing the sun's different positions. This paper introduces a sun stimulator system that can be physically built, in which users would enter a specific location on earth and a simulation of the sun's position would be generated according to date and time of year.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133845599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672701
Ruba Mohammad Haj Hamad, Mustafa Al-Fayoumi
Recently, the Project Management Office (PMO) has become the source of change and spirit of innovation within any organization. It determines the success of project management functions and achieves the organization's objectives. However, most banking organizations have a group of waterfall projects within a startup PMO; it is not established to use agile practices and methodologies. Therefore, transforming the waterfall project management office (WPMO) into agile PMO (APMO) is a challenging topic, especially when the organizational structure is not built as strongly projectized structure. This research paper wisely analyzed a real case study for an IT organization to understand all issues facing the WPMO. As a result of this, the research implements a full flexible process called the Scalable Agile Transforming Process (SATP) to transform WPMO into APMO within an IT organization. It also presents a new potential role called change coach, to guide, help, train, and support employees during the transformation journey. The results of this research study revealed the importance of transforming WPMO into APMO by using a clear process and steps. Moreover, this study could be useful and applicable for information technology enterprises.
{"title":"Scalable Agile Transformation Process (SATP) to Convert Waterfall Project Management Office into Agile Project Management Office","authors":"Ruba Mohammad Haj Hamad, Mustafa Al-Fayoumi","doi":"10.1109/ACIT.2018.8672701","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672701","url":null,"abstract":"Recently, the Project Management Office (PMO) has become the source of change and spirit of innovation within any organization. It determines the success of project management functions and achieves the organization's objectives. However, most banking organizations have a group of waterfall projects within a startup PMO; it is not established to use agile practices and methodologies. Therefore, transforming the waterfall project management office (WPMO) into agile PMO (APMO) is a challenging topic, especially when the organizational structure is not built as strongly projectized structure. This research paper wisely analyzed a real case study for an IT organization to understand all issues facing the WPMO. As a result of this, the research implements a full flexible process called the Scalable Agile Transforming Process (SATP) to transform WPMO into APMO within an IT organization. It also presents a new potential role called change coach, to guide, help, train, and support employees during the transformation journey. The results of this research study revealed the importance of transforming WPMO into APMO by using a clear process and steps. Moreover, this study could be useful and applicable for information technology enterprises.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126038575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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