A Method to Improve the Early Stages of the Robotic Process Automation Lifecycle

Ramirez, Andres J.; Reijers, Hajo A.; Barba, Irene; Valle, Carmelo Del

doi:10.1007/978-3-030-21290-2_28

Cited by 76 publications

(66 citation statements)

References 14 publications

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“…Given the data available in the event log, we choose the automation of the activity 'Assign the team' of an incident which in the current process is manually done by an SDA. Identification of the activities for automation is carried out during the design phase of an automation life-cycle [6] and is out of the scope of this work. We choose this task for the purpose of illustration.…”

Section: Business Process Intelligence Challenge 2014 (Bpic 2014)mentioning

confidence: 99%

“…Second, in line with humanautomation studies that detail human interactions with automation agents [4,5], business process execution requires adaptation based on the resources and their characteristics to support different levels of automation: 1) with a robot not capable for performing a task, or 2) capable of performing a task with human assistance or 3) act autonomously and perform a task independently. Process tasks, process participants (humans and robots), and the coordination between process participants needs to be modelled as part of the design phase of the RPA development life-cycle [6]. Third, by taking resource characteristics and process adaptation into account during process design one is able to systematically determine the degree to which automation of the process is feasible.…”

Section: Introductionmentioning

confidence: 99%

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Resource-Based Adaptive Robotic Process Automation

Sindhgatta

Hofstede

Ghose

2020

Advanced Information Systems Engineering

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Robotic process automation is evolving from robots mimicking human workers in automating information acquisition tasks, to robots performing human decision tasks using machine learning algorithms. In either of these situations, robots or automation agents can have distinct characteristics in their performance, much like human agents. Hence, the execution of an automated task may require adaptations with human participants executing the task when robots fail, to taking a supervisory role or having no involvement. In this paper, we consider different levels of automation, and the corresponding coordination required by resources that include human participants and robots. We capture resource characteristics and define business process constraints that support process adaptations with human-automation coordination. We then use a real-world business process and incorporate automation agents, compute resource characteristics, and use resource-aware constraints to illustrate resource-based process adaptations for its automation.

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Section: Business Process Intelligence Challenge 2014 (Bpic 2014)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resource-Based Adaptive Robotic Process Automation

Sindhgatta

Hofstede

Ghose

2020

Advanced Information Systems Engineering

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“…This manual approach allows analysts to identify the most obvious routines, while it is not suitable to detect those routines that are not executed on a daily basis or that are performed across multiple business units in different ways. The work of Jimenez-Ramirez and Reijers (Jimenez-Ramirez et al 2019) proposes to mitigate this issue through a method to improve the early stages of the RPA lifecycle using process mining techniques (van der Aalst 2016). On the other hand, a potential concrete solution to tackle this challenge is proposed by Bosco et al (Bosco et al 2019), where the authors present a method to analyze routine-based logs in order to discover routines that are fully deterministic.…”

Section: Research Challenges and Approachesmentioning

confidence: 99%

“…Deploy the SW robots in their environment to perform their actions. According to (Jimenez-Ramirez et al 2019), it should be noted that RPA is often characterized by the lacking of a testing environment; only the production environment is available. 6.…”

Section: Introductionmentioning

confidence: 99%

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Research Challenges for Intelligent Robotic Process Automation

Agostinelli

Marrella

Mecella

2019

Lecture Notes in Business Information Processing

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Robotic Process Automation (RPA) is a fast-emerging automation technology that sits between the fields of Business Process Management (BPM) and Artificial Intelligence (AI), and allows organizations to automate high volume routines. RPA tools are able to capture the execution of such routines previously performed by a human users on the interface of a computer system, and then emulate their enactment in place of the user by means of a software robot. Nowadays, in the BPM domain, only simple, predictable business processes involving routine work can be automated by RPA tools in situations where there is no room for interpretation, while more sophisticated work is still left to human experts. In this paper, starting from an in-depth experimentation of the RPA tools available on the market, we provide a classification framework to categorize them on the basis of some key dimensions. Then, based on this analysis, we derive four research challenges and discuss prospective approaches necessary to inject intelligence into current RPA technology, in order to achieve more widespread adoption of RPA in the BPM domain.

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Automated testing in robotic process automation projects

Ramirez

Chacón‐Montero

Wojdynsky³

et al. 2020

J Software Evolu Process

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Robotic process automation (RPA) has received increasing attention in recent years. It enables task automation by software components, which interact with user interfaces in a similar way to that of humans. An RPA project life cycle is closely resembling a software project one. However, in certain contexts (e.g., business process outsourcing), a testing environment is not always available. Thus, deploying the robots in the production environment entails high risk. To mitigate it, an innovative approach to automatically generate a testing environment and a test suite for an RPA project is presented. The activities of the humans whose processes are to be robotized are monitored and a UI log is confirmed. On one side, the test environment is generated as a fake application, which mimics the real environment by leveraging the UI log information. The control flow of the application is governed by an invisible control layer that decides which image to show depending on the interface actions that it receives. On the other side, the test case checks whether the robot can reproduce the behaviour of the UI log. Promising results were obtained and a number of limitations were identified such that it may be applied in more realistic domains.

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A Method to Improve the Early Stages of the Robotic Process Automation Lifecycle

Cited by 76 publications

References 14 publications

Resource-Based Adaptive Robotic Process Automation

Resource-Based Adaptive Robotic Process Automation

Research Challenges for Intelligent Robotic Process Automation

Automated testing in robotic process automation projects

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