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        <build-number>970001</build-number>
        <build-date>13-04-2023</build-date>
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<item>
            <title>[SERVER-45613] TLA+ Trace Checker paper: &quot;Model-based testing&quot; section with solution and analysis</title>
                <link>https://jira.mongodb.org/browse/SERVER-45613</link>
                <project id="10000" key="SERVER">Core Server</project>
                    <description>&lt;p&gt;From &quot;How to Write a Technical Paper: Structure and Style of the Epitome of your Research&quot;:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;Solution&lt;/p&gt;

&lt;p&gt;You should begin this section by providing an overview of&lt;br/&gt;
your solution. Give a good explanation of its rationale,&lt;br/&gt;
concepts and mechanisms. If your solution relies on a&lt;br/&gt;
theorem or some other undocumented concept, make sure&lt;br/&gt;
that you explain them before you carry on to the detailed&lt;br/&gt;
description.&lt;br/&gt;
The main part of this section is the thorough description of the solution and its functionality. The description&lt;br/&gt;
should not contain arguments on correctness or design decision debates; simply, describe the mechanisms of your&lt;br/&gt;
solution and avoid explanations of the &quot;why so&quot; type.&lt;br/&gt;
Dedicate a separate paragraph or two on the latter, if&lt;br/&gt;
you deem necessary.&lt;br/&gt;
Disassemble your solution to its functional components&lt;br/&gt;
and explain them separately. For example, if you describe&lt;br/&gt;
a distributed algorithm, explain the protocol-specific part&lt;br/&gt;
(message format, etc.) separately from the semantics and&lt;br/&gt;
decision-making part of the algorithm.&lt;br/&gt;
It is both important and useful to provide figures&lt;br/&gt;
demonstrating the functionality of your solution. Make&lt;br/&gt;
the figures look similar to the system model figure, if applicable, and exploit the similarities and differences to&lt;br/&gt;
point out important aspects of your solution.&lt;/p&gt;

&lt;p&gt;Analysis&lt;/p&gt;

&lt;p&gt;Analysis can be of two types: qualitative and quantitative.&lt;br/&gt;
The former means to show some properties (qualities)&lt;br/&gt;
of your solution, while the latter means to show some&lt;br/&gt;
performance aspects of your solution.&lt;br/&gt;
Qualitative analysis is usually proof of correctness,&lt;br/&gt;
however it could be proof that the solution possesses some&lt;br/&gt;
desired property. For algorithms or protocols, a proof of&lt;br/&gt;
correctness is always welcome.&lt;br/&gt;
Quantitative analysis is mostly performance analysis.&lt;br/&gt;
It is important to explain what performance metric you&lt;br/&gt;
use and why you have selected the specific metric. Choosing a metric that has been widely used will make the&lt;br/&gt;
comparison to other solutions easier.&lt;/p&gt;

&lt;p&gt;Let&apos;s include any numbers we can measure: number of test runs, computing hours spent testing, number of states encountered and what percentage of the theoretical state space that is, lines of spec code, lines of implementation code in MongoDB.&lt;/p&gt;&lt;/blockquote&gt;</description>
                <environment></environment>
        <key id="1100385">SERVER-45613</key>
            <summary>TLA+ Trace Checker paper: &quot;Model-based testing&quot; section with solution and analysis</summary>
                <type id="2" iconUrl="https://jira.mongodb.org/secure/viewavatar?size=xsmall&amp;avatarId=14711&amp;avatarType=issuetype">New Feature</type>
                                            <priority id="3" iconUrl="https://jira.mongodb.org/images/icons/priorities/major.svg">Major - P3</priority>
                        <status id="6" iconUrl="https://jira.mongodb.org/images/icons/statuses/closed.png" description="The issue is considered finished, the resolution is correct. Issues which are closed can be reopened.">Closed</status>
                    <statusCategory id="3" key="done" colorName="success"/>
                                    <resolution id="13201">Fixed</resolution>
                                        <assignee username="max.hirschhorn@mongodb.com">Max Hirschhorn</assignee>
                                    <reporter username="jesse@mongodb.com">A. Jesse Jiryu Davis</reporter>
                        <labels>
                    </labels>
                <created>Thu, 16 Jan 2020 20:23:04 +0000</created>
                <updated>Sun, 29 Oct 2023 22:13:11 +0000</updated>
                            <resolved>Wed, 19 Feb 2020 15:28:45 +0000</resolved>
                                                    <fixVersion>4.3.4</fixVersion>
                                    <component>Replication</component>
                                        <votes>0</votes>
                                    <watches>2</watches>
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