===== Product Usage Monitoring with D'PUIS =====

In order to address Soft Reliability problems, we have developed methods and techniques to mainly solve information deficit problems: while products fail to satisfy customers who might in turn disregard or bring the products back to the shop, vendors do not know //why// customer dissatisfaction happened in the first place. The aim is to acquire meaningful information and feed that back to the stakeholders in the companies who can use this information to improve products.

{{dpuis:tools_overview.gif|}}

In the past, attempts to cure the information deficit problem required huge effort to collect, process and analyze data which were often still not relevant and meaningful. This was also the reason why these techniques were not adopted easily so far. In contrast, we aim at a high degree of automation, which should take the burden from the stakeholders' shoulders and provide structured data timely.

===== D'PUIS  Data Collection Framework=====

The __D__ynamic __P__roduct __U__sage __I__nformation __S__ystem enables to collect usage data from the product directly. Black boxes are integrated into products and connected to company experts who analyze collected data from the product. Main advantages compared to similar approaches are:
  * High flexibility in data sources and processing
  * Remote configuration of observation
  * Near real-time data
  * Semantic annotations which can be leveraged during analysis

{{dpuis:dpuis_authoring.jpg?450|}}\\
**Screenshot of the D'PUIS authoring environment**


More information can be found here: [[dpuis|The D'PUIS Framework]]

===== ProMimport =====

ProM//import// is a tool that facilitates log conversion tasks in a plug-able architecture. It provides conversion filter for many real-life information systems and can be downloaded from the following web page [[http://promimport.sf.net|http://promimport.sf.net]]. 

{{ProMimport_SemanticDPUIS.png?450|ProMimport}}\\
**Screenshot of the ProM//import// tool converting D'PUIS logs**


We also developed a plug-in to support the conversion of D'PUIS logs to the log format that can be analyzed by ProM, the process mining tool (see section below). 

//How to obtain//: {{SemanticDPUIS.jar.zip|Download zipped JAR file}} (7.4 KB)

//How to install//: Choose ''Filter --> Load filter plugin...'' from the ProM//import// menu and locate the unzipped JAR file. Press ''OK''. Done!

===== ProM  Data Analysis Framework =====

ProM is the leading process mining toolkit. It is developed and maintained by the process mining research group in Eindhoven and can be obtained from the following website [[http://prom.sf.net/|http://prom.sf.net/]]. The latest release ProM 5.0 contains more than 230 plug-ins and offers a wide range of analysis tools.

{{prom.png?450|ProM}}\\
**Screenshot of the ProM framework**

Logs recorded via D'PUIS can be converted using ProM//import// and then analyzed in ProM in many ways. Next to the standard process mining techniques, also semantic process mining techniques can be used, leveraging the semantic annotations of the D'PUIS logs.