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    <article-meta>
      <title-group>
        <article-title>Towards Handling Complexity in Ensuring IT Based Business Process Reliability</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Liene Kursisa</string-name>
          <email>liene.kirsisa@rtu.lv</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marite Kirikova[</string-name>
          <email>marite.kirikova@rtu.lv</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Department of Artificial Intelligence and Systems Engineering, Riga Technical University</institution>
          ,
          <country country="LV">Latvia</country>
        </aff>
      </contrib-group>
      <fpage>53</fpage>
      <lpage>58</lpage>
      <abstract>
        <p>Business process reliability is a topic that, in general, has been addressed in research, however, there are not many methods proposed for calculating the reliability or for looking at it as an engineering problem in the context of business processes. In this position paper we address the business process reliability from different perspectives and argue that it is necessary to consider these perspectives in systemic manner throughout the lifecycle of a business process. We address, specifically, IT based business processes, as these processes bring in additional factors affecting reliability of business process, i.e., the business process reliability depends on the reliability of IT solutions.</p>
      </abstract>
      <kwd-group>
        <kwd>Business Process Reliability</kwd>
        <kwd>Reliability Engineering</kwd>
        <kwd>Software Reliability</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Reliability engineering is a well-known topic in mechanical engineering and even in
software engineering. It is less addressed in the domain of business process
management. However, in the era of digital transformation, the reliability of business
processes becomes an essential issue because business processes may easily suffer from
disruption at strategic, business or infrastructure levels.</p>
      <p>
        In general, reliability is defined as ability of a system or component to perform its
required functions under stated conditions for a specified period of time [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. Reliability
for a business process is a discrete event probability with an implied cost per occurrence
[
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. This is the probability that an activity will be completed without errors and in a
usable manner. The term “usable manner” refers to the fact that many business
processes are links in a chain of activities that have suppliers and customers. Thus, a
business process has many points of possible failure each of which can have different
occurrence rates. By choosing specific parameters the reliability can by calculated [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ],
and costs of non-reliability estimated. Quite often simulation is used to help to estimate
reliability of business processes [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ].
      </p>
      <p>Respecting the number or possible failure points, emergent nature of global
economy, and continuous changes in business processes and IT systems that support
them, we take a different perspective in addressing business process reliability. We look
at the business processes from systems-theoretical perspective and, based on already
accumulated scientific knowledge in business process reliability (and software
reliability), propose to establish guidelines that would support establishing and
maintaining reliable business processes. We do not see these guidelines as substitutes
of already existing qualitative and quantitative approaches in reliability engineering;
rather we claim that they could be established with the purpose to provide relatively
easy applicable suggestions in IT based business process management that would help
to prevent at least part of errors that could lead to non-reliable IT based business
processes. In this position paper we ponder about the basis on which the guidelines
could be established.</p>
      <p>The factors influencing IT based business process reliability are discussed in
Section 2. The method for establishing the guidelines for complexity handling in IT
based business process reliability engineering are proposed in Section 3. Section 4
presents brief conclusions and directions for future work.
2</p>
      <p>Reliability Related Factors in IT Based Business Processes
In this section we will review different issues that concern IT business process
reliability.</p>
      <p>
        We start with software reliability, as this area of research is more mature than
business process reliability research. Here we can see that software reliability is a
product of software reliability engineering. Software reliability engineering includes
[
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]: (1) planning for software reliability engineering, (2) analyzing software failure
modes, (3) predicting software reliability during development, (4) estimating software
reliability during testing, (5) making software release decision, and (6) monitoring
software reliability.
      </p>
      <p>
        There are several metrics established that are used in estimating software reliability
[
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]. These metrics can concern code per se, its functioning (e.g., mean time to
repair), as well as project management metrics.
      </p>
      <p>
        While the concept “software reliability engineering” is well known, we cannot say
the same about the concept “business process reliability engineering”. Rather it is
common to speak about business process quality engineering and criteria of business
process quality estimation. For instance, in [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ] some metrics are given that could be
reused for reliability engineering purposes. Lessons learned from software reliability
engineering is that it concerns all phases of software lifecycle, so similarly when we
address business process reliability engineering, we should concern all phases in the
business process life cycle: process identification, process discovery, process analysis,
process implementation, and process monitoring and controlling [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. In business
processes a resource is an important issue. In [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] such resources as brokers, performers,
subsystems, and others are modeled each of them having a specific state diagram used
for simulation. Authors claim that such approach helps to evaluate the reliability of a
business process before its actual implementation.
      </p>
      <p>Regarding reliability of a construction of activities of a business process, the author
of [10] offers several metrics for different activity combinations. Authors of [11], in
turn, suggest estimating business process reliability by active monitoring which
addresses not only the activities per se but also their inputs, such as knowledge,
information, equipment, etc.</p>
      <p>In summary, we can say that reliability of a business process depends on the
reliability of its elements. In IT based business processes, the IT systems that serve this
business process also must be considered as business process constituents. This adds to
the complexity of reliability analysis as software systems themselves can go through
their development cycles in running business processes. One business process can be
supported with several IT systems, each of which has its own development and
maintenance schedule. The simplest case is when business process development and
software development are synchronized. This is illustrated in Table 1, which shows
interplay between software reliability engineering and business process reliability
engineering. For the sake of simplicity, in the table business process reliability cycle is
constructed analogically to software reliability engineering.</p>
      <p>
        Reliability engineering phase for business process
reliability and software reliability engineering
Planning for business process reliability
engineering and software reliability engineering
Analyzing business process failure modes and
software failure modes
Predicting business process reliability and
software reliability during development
Estimating business process and software
reliability during business process model testing
and software testing
Making business process implementation decision
and making software release decision
Monitoring business process reliability and
monitoring software reliability
Literature coverage (black color
is for business process reliability
engineering, blue – for software
reliability engineering)
[
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]
[10], [12], [13]
[
        <xref ref-type="bibr" rid="ref4">4</xref>
        ], [10]
[
        <xref ref-type="bibr" rid="ref4">4</xref>
        ], [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ], [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], [14], [15]
[
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]
[
        <xref ref-type="bibr" rid="ref8">8</xref>
        ], [11], [16], [17]
      </p>
      <p>The purpose of our research is to create guidelines so that it would be possible to
address any combinations in lifecycle phases. In the next section we will briefly
describe what method are we intending to apply for creating the guidelines. Literature
sources depicted in Table 1 show some related works which were found useful for
reliability analysis in a particular cell. Black color is used for business process literature
and blue color is used for software engineering literature sources. Currently we have
made search with limited number of keywords (“software reliability” and “business
process reliability”). Broader search could give more results for cell population. Also,
with respect to software reliability engineering, only some of available references are
reflected as the emphasis here is on business process reliability not just software
reliability.
3</p>
      <p>
        A Method for Developing the Guidelines for Complexity
Handling
The development of the guidelines is based on the Table 1 and concept model reflected
in Fig. 1. The model in Fig. 1 reflects basic business process concepts to be addressed
in reliability engineering as can be derived from related work discussed in Section 2.
The model presented in Fig.1 can be extended by more concepts, e.g., the business
processes context or specific performer types as in [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ].
      </p>
      <p>For each combination of business process reliability engineering and software
reliability engineering phases shown in Table 1, the appropriate elements from Fig. 1
should be chosen and corresponding reliability analysis, planning or estimation
methods and evaluation metrics suggested. For instance, the combination “monitor
business process reliability” and “monitor software process reliability” could be
handled with the following:
•
•
•
•
•</p>
      <p>Business process life cycle phase: execution,
Business process activities to be monitored and metrics of monitoring
parameters,
Business process active resources to be monitored and monitoring metrics
(information regarding all types of resources including software must be
represented),
Business process passive resources to be monitored and monitoring metrics,
Software reliability engineering phase: monitor software process reliability.
Reliability analysis and engineering for IT based business processes has high level of
complexity. Therefore, we intend to establish structured guidelines for reliability
engineering that utilize existing and possible upcoming knowledge in business process
reliability engineering and software reliability engineering with respect to all phases of
business process life cycles and with respect to all basic constituents of the business
process including used software. The software is regarded as an active resource of a
business process; and software reliability engineering can be applied separately to
different IT solutions as business processes can have different supporting software
components at different their reliability engineering stages.</p>
      <p>The development of guidelines should be structured and exposed knowledge
extendable. Development of the guidelines and tool support for their convenient usage
are the objectives of further research. One more direction of further research would be
industry specific guidelines, for instance, the set of guidelines for supply chain IT based
business process reliability engineering, educational IT based business reliability
engineering, etc. Providing industry specifics would help even more to reduce
complexity of reliability handling by providing structured renewable knowledge and
tool support.
3-662-56509-4.
10.Sunyaev, A.: Internet Computing. Springer International Publishing (2020).</p>
      <p>https://doi.org/10.1007/978-3-030-34957-8.
11.Mendibil, K., Turner, T.J., Bititci, U.S.: Measuring and improving business process
reliability. Int. J. Bus. Perform. Manag. 4, 76–94 (2002).
https://doi.org/10.1504/IJBPM.2002.000109.
12.Holt, J.: A pragmatic guide to business process modelling. British Informatics Society
(2009).
13.Respício, A., Domingos, D.: Reliability of BPMN Business Processes. Procedia Comput.</p>
      <p>Sci. 64, 643–650 (2015). https://doi.org/10.1016/J.PROCS.2015.08.578.
14.ISO/IEC/IEEE 29119-2:2013(en), Software and systems engineering — Software testing —
Part 2: Test processes,
https://www.iso.org/obp/ui/#iso:std:iso-iec-ieee:29119:-2:ed1:v1:en, last accessed 2021/08/04.
15.O’Regan, G.: Concise Guide to Software Testing. Springer International Publishing, Cham
(2019). https://doi.org/10.1007/978-3-030-28494-7.
16.Turner, T.J., Bititci, U.S.: Maintaining reliability of business processes using active
monitoring techniques. 169–176 (1998). https://doi.org/10.1007/978-0-387-35321-0_19.
17.ISO - ISO/IEC/IEEE 15288:2015 - Systems and software engineering — System life cycle
processes, https://www.iso.org/standard/63711.html, last accessed 2021/08/04.</p>
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