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The primary concern of quality improvement in processes is not the input–output conversion but the information that enables and controls process. This paper presents process fragments for dimensions of information quality (IQ).

Research is based on the design science paradigm to create four fragments of reusable processes, that contemplate the following dimensions of IQ: accessibility, completeness, accuracy and consistency.

There is a theoretical discussion of the concept of IQ in process models, in which the fragments presented provide designers with a reduction in modeling time through reuse. Therefore, the designer has the flexibility to improve the IQ according to the context of each process.

The discussion is relevant for both researchers and business designers because it shows that IQ is essential to guarantee the efficient execution of processes.

Processes modeling can be a challenge for inexperienced designers as they always try to solve a problem from the start, without worrying about the IQ dimensions in process models. Fragments here presented can be (re)used to guide these designers in processes modeling with more IQ.

Process modeling approaches provide expressive techniques but do not guarantee IQ in the models. However, these approaches present process fragments that can be easily used to contemplate IQ in process models. In this context, process fragments reuse stands out as an innovative solution to mitigate the shortcomings of process models related to IQ.

Business process modeling can involve multiple stakeholders, so it is natural that problems may occur during the designing and understanding processes. One way to perceive these problems is to evaluate the comprehension of business process models through the collection of data related to the readers' eye movement via an eye-tracking device. The purpose of this paper is to provide a comprehensive overview of the use of eye-trackers in understanding process models and to offer a research roadmap to challenge the community to address the identified limitations and open issues that require further investigation.

To achieve this goal, Systematic Literature Review (SLR) was performed following good practices from the Evidence-Based Software Engineering's (EBSE) field.

This study resulted in 10 primary studies selected for analysis and data extraction, from the 1,482 initially retrieved. The major findings indicate that the business process community still benefits little from the use of eye-tracking, e.g. not offering sufficient support for inexperienced designers and not having an explicit standardization in its use. These and other findings are synthesized in a research roadmap which results would benefit researchers and practitioners.

In the studies found, the methods used to explore eyes' movement in process models' comprehension analysis were presented as an advantage of the current study. Additionally, another aspect presented in this SRL as an originality is presenting a set of open questions, suggesting valuable topics for future research through a research script (research roadmap).