http://bpmcenter.org/wp-content/uploads/reports/2012/BPM-12-01.pdf

Editorial: Managing large collections of business process models-Current techniques and challenges

In today's knowledge-, service-, and cloud-based economy, businesses accumulate massive amounts of data from a variety of sources. In order to understand businesses one may need to perform considerable analytics over large hybrid collections of heterogeneous and partially unstructured data that is captured related to the process execution. This data, usually modeled as graphs, increasingly come to show all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics. We use the term big process graph to refer to such large hybrid collections of heterogeneous and partially unstructured process related execution data. Online analytical processing (OLAP) of big process graph is challenging as the extension of existing OLAP techniques to analysis of graphs is not straightforward. Moreover, process data analysis methods should be capable of processing and querying large amount of data effectively and efficiently, and therefore have to be able to scale well with the infrastructure's scale. While traditional analytics solutions (relational DBs, data warehouses and OLAP), do a great job in collecting data and providing answers on known questions, key business insights remain hidden in the interactions among objects: it will be hard to discover concept hierarchies for entities based on both data objects and their interactions in process graphs. In this paper, we introduce a framework and a set of methods to support scalable graph-based OLAP analytics over process execution data. The goal is to facilitate the analytics over big process graph through summarizing the process graph and providing multiple views at different granularity. To achieve this goal, we present a model for process OLAP (P-OLAP) and define OLAP specific abstractions in process context such as process cubes, dimensions, and cells. We present a MapReduce-based graph processing engine, to support big data analytics over process graphs. We have implemented the P-OLAP framework and integrated it into our existing process data analytics platform, ProcessAtlas, which introduces a scalable architecture for querying, exploration and analysis of large process data. We report on experiments performed on both synthetic and real-world datasets that show the viability and efficiency of the approach.

Scalable graph-based OLAP analytics over process execution data

Introduction to Cataloging and Classification

Impact analysis and change propagation in service-oriented enterprises

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Head First Design Patterns

UML sudah menjadi bahasa pemodelan baku dalam pengembangan sistem perangkat lunak. Pemodelan yang penting dalam UML, untuk menjelaskan aspek fungsionalitas sistem, adalah pemodelan use case . Use case dideskripsikan secara tekstual dalam bentuk use case scenario untuk menjelaskan interaksi yang terjadi antara aktor dengan sistem. Selanjutnya, use case diilustrasikan secara visual dalam bentuk use case diagram untuk menggambarkan konteks dari sistem yang dikembangkan. Dalam praktiknya, kedua model tersebut tidak sulit untuk dibuat meskipun oleh orang yang belum berpengalaman. Namun demikian, pemodelan use case yang dihasilkan, baik dalam konteks pembelajaran konsep pengembangan perangkat lunak di kampus maupun dalam konteks implementasi di industri perangkat lunak, tidak sedikit yang mengandung kesalahan baik secara sintaksis maupun semantik. Artikel ini bertujuan untuk melakukan evaluasi terhadap beberapa kesalahan tersebut sehingga bisa dijadikan acuan dalam membangun model yang baik dan benar sehingga mampu menjelaskan sistem yang dikembangkan secara tepat. Evaluasi dilakukan dengan mengidentifikasi dan mengklasifikasi kesalahan, serta merekomendasi perbaikan yang diperlukan berdasarkan kajian teori dan spesifikasi UML. Artikel ini telah membahas secara detil 11 jenis kesalahan dalam pembuatan use case scenario dan 7 jenis kesalahan dalam penggambaran use case diagram , masing-masing disertai dengan contoh kasus yang relevan.

/pdf/pemodelan-use-case-uml-evaluasi-terhadap-beberapa-kesalahan-2fcaqbdw74.pdf

Pemodelan Use Case (UML): Evaluasi Terhadap beberapa Kesalahan dalam Praktik

The aim of the research is to present an approach of obstacle distance estimation and navigation for smart wheelchair. The smart wheelchair is an electric wheelchair equipped with camera and line laser to navigate and avoid an obstacle. The camera was used to capture images from the environment to sense the pathway condition. The line laser was used in combination with camera to recognize an obstacle in the pathway based on the shape of line laser image in certain angle. A blob method detection was applied on the line laser image to recognize the pattern of the detected obstacles. The line laser projector and camera were mounted in fixed-certain position to make sure a fixed relation between blobs-gaps and obstacle-to-wheelchair distance. A simple linear regression from 16 obtained data was used to represent this relation as the estimated obstacle distance. As a result, the average error between the estimation and actual distance was 1.25 cm from 7 data testing experiments. The experiments result indicates that the proposed method is able to estimate well the distance between wheelchair and obstacle. Later, the smart wheelchair needs to decide further action whether it should turn left, right or just walk straight when facing certain obstacle to avoid it.

A laser-vision based obstacle detection and distance estimation for smart wheelchair navigation

Most medium to large organizations support large collections of process designs, often stored in business process repositories. These processes are often inter-dependent. Managing such large collections of processes is not a trivial task. We argue that formalizing and establishing inter-process relationships play a critical role in that task leading to a machinery approach in the process repository management. We consider and propose three kinds of such relationships, namely part-whole, inter-operation and generalization-specialization, including their formal definitions, permitting us to develop a machinery approach. Analysis of the relationships relies on the semantically effects annotated process model in BPMN. This paper presents a rigorous approach to assist the designer to establish inter-process relationships in a process repository.

/pdf/on-formalizing-inter-process-relationships-4s8t4snfzx.pdf

On formalizing inter-process relationships

People with physical disability such as quadriplegics may need a device which assist their mobility. Smart wheelchair is developed based on conventional wheelchair and is also generally equipped with sensors, cameras and computer based system as main processing unit to be able to perform specific algorithm for the intelligent capabilities. We develop smart wheelchair system that facilitates obstacle detection and human tracking based on computer vision. The experiment result of obstacle distance estimation using RANSAC showed lower average error, which is only 1.076 cm compared to linear regression which is 2.508 cm. The average accuracy of human guide detecting algorithm also showed acceptable result, which yield over 80% of accuracy.

Development of computer vision based obstacle detection and human tracking on smart wheelchair for disabled patient

As process-orientation continues to be broadly adopted --- evidenced by the increasing number of large business process repositories, managing changes in such complex repositories becomes a growing issue. A critical aspect in evolving business processes is change propagation: given a set of primary changes made to a process in a repository, what additional changes are needed to maintain consistency of relationships between various processes in the repository. In this paper, we view a collection of interrelated processes as an ecosystem in which inter-process relationships are formally defined through their annotated semantic effects. We also argue that change propagation is in fact the process of restoring consistency-equilibrium of a process ecosystem. In addition, the underlying change propagation mechanism of our framework is leveraged upon the well-known Constraint Satisfaction Problem (CSP) technology. Our initial experimental results indicate the efficiency of our approach in propagating changes within medium-sized process repositories.

/pdf/relationship-preserving-change-propagation-in-process-2gh5bevkaw.pdf

Tri Astoto Kurniawan

Papers

Pemodelan Use Case (UML): Evaluasi Terhadap beberapa Kesalahan dalam Praktik

A laser-vision based obstacle detection and distance estimation for smart wheelchair navigation

On formalizing inter-process relationships

Development of computer vision based obstacle detection and human tracking on smart wheelchair for disabled patient

Relationship-Preserving change propagation in process ecosystems