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On the Transition to an Open Source Solution for Desktop Office Automation

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Abstract and Figures

There are many claims about the benefits of Open Source Software (OSS). However, these claims are seldom supported by empirical evidence, while on the other hand there are several impediment factors which might overcome the advantages deriving from the use of OSS in a corporate environment: cost of transition, personnel training and, interoperability and integration with existing technologies. These factors are often used by OSS opponents. In this paper we first report of a small-scale deployment of OSS for office automation in Public Administration bodies. We describe the environment, the process and the problems encountered. Next, we describe a proposal for a future experiment for empirically assessing OSS impediment factors, focusing in particular on personnel productivity. We again propose the deployment of OSS office automation tools in Public Administration bodies and we describe a system for monitoring the effect of the use of OSS on personnel productivity.
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M. Böhlen et al. (Eds.): TCGOV 2005, LNAI 3416, pp. 277–285, 2005.
© IFIP International Federation for Information Processing 2005
On the Transition to an Open Source Solution for
Desktop Office Automation
Bruno Rossi, Barbara Russo, Paolo Zuliani, and Giancarlo Succi
Center for Applied Software Engineering, Free University of Bolzano-Bozen,
Piazza Domenicani 3, 39100 Bolzano-Bozen, Italy
{bruno.rossi, barbara.russo, paolo.zuliani,
giancarlo.succi}@unibz.it
Abstract. There are many claims about the benefits of Open Source Software
(OSS). However, these claims are seldom supported by empirical evidence,
while on the other hand there are several impediment factors which might over-
come the advantages deriving from the use of OSS in a corporate environment:
cost of transition, personnel training and, interoperability and integration with
existing technologies. These factors are often used by OSS opponents. In this
paper we first report of a small-scale deployment of OSS for office automation
in Public Administration bodies. We describe the environment, the process and
the problems encountered. Next, we describe a proposal for a future experiment
for empirically assessing OSS impediment factors, focusing in particular on
personnel productivity. We again propose the deployment of OSS office auto-
mation tools in Public Administration bodies and we describe a system for
monitoring the effect of the use of OSS on personnel productivity.
1 Introduction
Open Source Software (OSS) has grown a lot in popularity. Linux and the Apache
web server are found in respectively 30% and 66% of the Internet’s public servers,
according to Netcraft’s survey 1. We thus have some empirical evidence that OSS can
work well, at least for the server side of a client-server architecture.
By assuming the fact above, supporters claim that OSS leads to a reduction in IT
expenditure because:
OSS is free, one does not have to pay any license;
Source code is available, so it is possible to tune the software for specific needs
by removing unnecessary, resource-consuming features. This translates in the
possibility of using less powerful, thus less expensive, hardware.
The first reason is indeed true, while for the second reason we do not have any em-
pirical study comparing OSS and proprietary solutions: proponents usually report
common knowledge experience. Furthermore, such knowledge and experience are
confined to very specific applications such as server architectures or software devel-
opment. For example, in 2001 Amazon.com adopted Linux for most of its servers and
reduced by 24% ($17 million) the IT expenditure, as reported by the IDG Group (2,
3). In August 2002, Verizon Communications, one the biggest telecommunication op-
278 B. Rossi et al.
erator in the USA, replaced the Unix and Windows workstations of its internal devel-
opers with systems based on Linux and OpenOffice. The average desktop cost
dropped from $20,000 to $3,000 per developer and in the end the company saved $6
million 5.
It seems to be that the common feature of these success cases is that OSS has been
able to penetrate the market only for applications which require more reliability and
efficiency than user-friendliness and usability.
Therefore, it might be that OSS is not well suited for desktop and client applica-
tions, for which we know that Microsoft Office is the de-facto standard. If we think of
a hypothetical deployment of OSS for desktop applications in a corporate environ-
ment, such as Public Administrations (PA), there are factors which might overcome
the claimed advantages of OSS:
Cost of transition from previous solutions.
Interoperability and integration with existing solutions.
Cost of training personnel for the new tools and hostility to change.
Reduced productivity of the personnel.
The recent FLOSS project 6 funded by the European Union aimed at collecting
data about the usage and development of OSS in Europe. Surveys were conducted be-
tween February and May 2002 on about 1,500 companies and public institutions, ask-
ing whether they were employing, or willing to employ, Open Source software. Four
hundred of these were indeed using, or planning to do so in the near future, some kind
of OSS.
There are two points of the FLOSS study 6 which are of interest for us:
OSS for desktop applications (e.g. client operating systems, office automation,
etc.) was employed only by the 20% of those four hundred establishments using
OSS. If we further restrict to the use of OpenOffice that percentage drops to 10%.
This confirms common wisdom that OSS is better suited for server and IT infra-
structure tasks.
It turned out that companies and public institutions were generally unable to quan-
tify the benefits deriving from the use of OSS. They were also not even able to
quantify benefits like license fees savings and hardware cost savings.
It is therefore important to empirically analyze and assess the benefits and the
problems deriving from the use of OSS, in order to provide companies and public in-
stitutions with more significant data for their strategic decisions.
In particular, we focus on the OpenOffice suite: a set of key desktop applications
which includes a word processor, a spreadsheet, a presentation manager, a drawing
program, and an equation editor 7.
In this paper we first report of a small-scale deployment of the OpenOffice suite in
several PA bodies. We describe the environment, the process and the problems en-
countered during the transition.
Next, building on that experience, we propose a future experiment for empirically
evaluating the benefits and problems caused by the introduction of OpenOffice. The
project aims at showing that OpenOffice allows personnel to produce as efficiently as
Microsoft Office.
On the Transition to an Open Source Solution for Desktop Office Automation 279
2 Small-Scale Deployments
The Consortium of the Townships of the Province of Bolzano-Bozen (Italy), in col-
laboration with the Centre for Applied Software Engineering of the Free University of
Bolzano-Bozen, has performed a trial installation of OpenOffice in ten associate
townships.
2.1 Environment
The trial installation of OpenOffice involved ten townships of the Alto-Adige region
in Italy. Townships ranged from very small (five employees) to small-medium size
(twenty employees). The activities performed are the usual office tasks: word process-
ing, spreadsheet, etc. Microsoft Office was the only office automation tool used.
In the end, OpenOffice was installed on about one hundred desktop computers. The
operating system was Microsoft Windows in all the cases.
We select a set of 16 PC computers uniformly distributed in the Townships. The
end-users volunteered for the experiment belong to four different departments. In
eight PC computers we have installed OpenOffice.
2.2 Process Transition
Transitions lasted from two to four working days and employed two instructors each.
Personnel training was performed on-site and one-to-one.
Instructors first went to the site for “exploring” the environment and for collecting
the most used documents by offices’ personnel. The instructors then returned the day
after with all the documents converted to OpenOffice’s format. They then installed
OpenOffice and train the personnel by working on the very same documents they
were usually working on.
The conversion of more than two hundred documents from Microsoft Word to
OpenOffice was performed without any particular problem and with great efficiency:
the size of an OpenOffice document was generally one third of the equivalent Word
document.
2.3 Problems
Personnel do not generally look positively at the introduction of new or different
technologies and at the abandon of those which is used to: a phenomenon called “hos-
tility to change”. The most reported reason is the refuse to use tools different from
those of colleagues or from those used at home. However, during the transition to
OpenOffice we found only a few employees showing hostility to change.
We instead have found an inefficient use of resources: the personnel routinely used
only the very basic features of Office, and did not consider little more complicate fea-
tures which would have lead to better use of resources.
Users with good knowledge of Office have not had any problem in switching to
OpenOffice. Most of the problems have been caused by personnel with little Office
knowledge.
280 B. Rossi et al.
Personnel training has been usually performed on-site and one-to-one, but it has
turned out that instructors have had to frequently interrupt training because of incom-
ing phone calls, urgent documents delivering, etc.
3 The Experiment
The aim of the experiment is to studying, analyzing and evaluating the introduction of
OpenOffice for all office automation tasks in the PA, while preserving existing pro-
prietary solutions for desktop operating systems (e.g. Microsoft Windows). In particu-
lar, we investigate whether the use of OpenOffice does not significantly affect per-
sonnel productivity.
The experiment also aims at becoming a success case for the introduction of
OpenOffice, and of OS desktop software in general, in companies and Public Admini-
strations.
The experiment has been jointly conducted by Consortium of the Townships of the
Province of Bolzano-Bozen, the Centre for Applied Software Engineering of the Free
University of Bolzano-Bozen and a few local IT firms.
3.1 Design
The sample consists of 16 end-users. Eight of them volunteered to use OpenOffice.
The rest continues to use Microsoft Office.
First we have drawn a picture of all the applications calling and called by the office
automation tool used, and the macros used by each department.
Then we have monitored the use of the office automation tools for a period of
seven weeks before the transition.
Soon after the transition we have monitored the use of both the old and new solu-
tion for a period of fourteen weeks.
Then we have configured the access to the documents to automatically opening
them in OpenOffice. Although opening the documents with Microsoft Office is still
possible, it requires a bit more complex procedure. Again we have monitored the use
of Microsoft and OpenOffice for a period of three weeks.
3.2 Collected Data
We have selected data from two weeks before the transition, two weeks soon after the
transition, and two weeks during the new configuration access to documents.
The data have been collected automatically in background with the PROM tool.
PROM is a software engineering tool originally developed for collecting process
and product metrics in software development (9, 8). For example, it is possible to re-
cord the time lapsed in working on a Java source file, or the number of modifications
applied. By the use of appropriate plug-in’s we interfaced the PROM tool with Micro-
soft Office and OpenOffice, so that it is possible to collect process metrics for any
kind of OpenOffice or Office document. For this preliminary study we have collected
data on interaction of applications, on time of use of applications, and on number of
documents daily used. We have not taken into account daily average time shorter than
5 minutes.
On the Transition to an Open Source Solution for Desktop Office Automation 281
4 Data Analysis
In first seven weeks we have analyzed the calls between Word/Excel and the other
Microsoft Office applications. We have selected the following applications
Table 1. Description of the applications considered
Called by Description
CPCQM.EXE Printer driver Canon
MSOHELP.EXE MS Help Menu
EXPLORER.EXE Folder viewer
DW.EXE MS Error Reporting tool
EXCEL.EXE MS Excel
IEXPLORER.EXE MS web browser
MSACCESS.EXE MS Access
MSTORE.EXE Microsoft Clip Organizer
IFRUN60.EXE Oracle Forms (Runforms)
OUTLOOK.EXE MS Mail client
WINHELP32.EXE MS Help guide
Table 2. Top score applications calling Word and Excel
Calling Word Excel
EXPLORER.EXE 80.74% 94.38%
OUTLOOK.EXE 14.61% 3.42%
DW.EXE 0.64% 0.92%
IFRUN60.EXE 0.11% 0.00%
IEXPLORER.EXE 0.19% 0.00%
EXCEL.EXE 0.04% 0.00%
UNKNOWN 3.68% 1.28%
Table 3. Top scores applications called by Word and Excel
Called by Word/Excel
CPCQM.EXE 71.05%
MSOHELP.EXE 13.16%
EXPLORER.EXE 7.89%
DW.EXE 5.26%
EXCEL.EXE 2.63%
IEXPLORER.EXE 2.63%
MSACCESS.EXE 0.00%
MSTORE.EXE 0.00%
IFRUN60.EXE 0.00%
OUTLOOK.EXE 0.00%
WINHELP32.EXE 0.00%
The patterns expressed in the tables indicate the interoperability of the desktop ap-
plications that needs to be taken into account in the transition: customization and ad-
aptation of the office tools impact on effort and costs.
282 B. Rossi et al.
In fact, despite the difference in percentage of calls all the applications that are in
Table 1 need to be considered in the transition. For example we need to customize the
call to an oracle DB as there has been at lest one call to this DB (IFRUN60.EXE).
For the same reason we analyze the existence of macros: for the accessible excel
files it has been reported 43 macros for a total of 21,482 lines of code for 526 files in-
spected. No macros have been found in place for Word files.
We monitor the number of documents used and the daily time spent on the
documents.
We derive a formula on daily productivity for each user
time
Documents#
Pi= (1)
We have different types of productivity. The documents are Office documents (Docs
(O)) or OpenOffice documents (Docs (OO)).
# Docs (O) (or # Docs (OO)) is the total number of documents with extension Office
(respectively Open Office) saved by an end-user in a day.
The time is the total time in a day of use of an application. So we have time for us-
ing the OpenOffice applications ad time for using Office applications – Open Office,
time (OO) or Office, time (O).
Considering that OpenOffice files cannot be opened by Office there are three types
of productivity.
time(OO)(O) time
(OO) Docs # (O) Docs#
Ptot +
+
= (2)
time(OO)(O) time
(O) Docs#
P1+
= (3)
time(OO)
(OO) Docs #
P2= (4)
Then we average the daily productivity in each period of analysis, getting only one
num eb r for each end-user. The below report of the three productivities in
the three periods in the two groups.
Each bar in the below h stograms represents the productivity of a single employee
in the three different phase of the monitoring. The pre-transition phase corresponds to
the nr. 1, the transtion phase to the nr. 2 and the post-trans tion to the nr. 3
The first picture represents the daily average productivity when documents are
saved/modified as office documents (.doc, .xlm extension) disregarding the application
used - within OpenOffice or Office (eq. 3). Therefore the productivity here is an upper
bound of the productivity related to the solo use of Office: a user may have modified a
file .doc with OpenOffice. Further analysis would consider this refinement (eq. 4).
The second picture displays the trends in the control group. From the picture we
deduce that the first period of monitoring is characterized by a bigger productivity
(eq. 3).
The third picture reports the productivity compute as ratio of number of files – in-
differently Office or OpenOffice – and time spent with OpenOffice or Office applica-
tions (eq. 2).
i
h stograms
i
i
d
On the Transition to an Open Source Solution for Desktop Office Automation 283
0
1
2
3
4
5
6
7
8
9
10
11
12
13
1
2
3
End-user - transited to Open Office - use of Office
Productivity
Fig. 1. Partial productivity (eq. 3) in the three periods in the group transited to OpenOffice
0
1
2
3
4
5
6
7
8
9
10
11
12
13
1
2
3
End user - not using Open Office - use of Office
Product iv it y
Fig. 2. Partial productivity (eq. 3) in the three periods in the group not using OpenOffice
0
1
2
3
4
5
6
7
8
9
10
11
12
13
1
2
3
End user - transited to Open Office
Total Productivity
Fig. 3. Total productivity (eq. 2) in the three periods in the group transited to OpenOffice
284 B. Rossi et al.
5 Results
The preliminary analysis based on the groups comparison in the three periods of the
experiment (Fig. 2), indicates that there is no lack of productivity in the group tran-
sited to OpenOffice.
Even more some of the members of the group transited to OpenOffice present a
higher productivity when working both with only Office documents (eq. 3, Fig. 1 and
Fig. 3 period n. 1) and with any kind of document (eq. 2, Fig. 3, period n. 3). In the
transition, when the choice to use one or the other application is even (Fig. 1 and Fig.
3, period n.2), no increase of productivity has been registered: no documents new or
saved as OpenOffice files have been produced.
In the third period the use of OpenOffice has increased as the path to access to Of-
fice applications has become more complex.
To facilitate the transition we have performed an analysis on application interop-
erability and existence of macros. This has helped to customize the new solution in
terms of the needs of the end-user.
6 Analysis of the Problems
Again, the fact that Microsoft Office is by far the most used office automation tool
raises the problem of training the personnel for OpenOffice. To this end, we have or-
ganized part-time courses on OpenOffice. The courses are held off-site, to avoid the
disturbing factors experienced in the trial installation. In these courses, offices’ per-
sonnel have been taught the basic and most used OpenOffice features, with the possi-
bility of suggesting some particular topic of interest.
Another problem which might occur is the hostility to change. In this case, in order
to maintain the efficacy of the training action, we might think of motivating the per-
sonnel by a series of “bonuses for change”. Another solution is to train homogenous
groups of people, that is, personnel coming from the same of closely related offices.
The choice of introducing OpenOffice while maintaining the same client operating
systems is motivated by the need to minimize the training load for the personnel. That
choice allows also a smooth transition, minimum interruption of public services and
limits any possible hostility to change.
We will also establish: a hotline, a data base of success cases, a FAQ and a knowl-
edge base. These services are aimed at PA personnel already trained and will offer
user and technical support on various OS software of interest for the PA.
7 Limits of the Experiment
This is a preliminary experiment conducted on a small sample of public administra-
tions. Results may only fit the context of this case study. Nevertheless the value of the
experiment reported relays more on the identification of a suitable experiment design
and few valid statistical variables rather than on comprehensive results. In any case
although results are not the major issue here, they still indicate no loss of productivity
in passing to Open Source solution.
On the Transition to an Open Source Solution for Desktop Office Automation 285
The Open Source applications here are just desktop applications for office automa-
tion, further analysis will consider a wider/different set of open tools.
8 Conclusions
In the past years OSS has proved to be a very reliable solution for many server appli-
cations. However, the claims about the benefits and advantages deriving from the use
of OSS are seldom supported by empirical evidence or studies.
We considered the use of OSS for office automation tasks, for which no significant
success case is known. We described a trial installation of the OpenOffice suite, re-
ported the problems encountered and describe a possible experiment design and data
analysis.
The data collection has been made with a non-invasive tool working in back-
ground.
The good results of the trial installation motivate the instantiation of a more ex-
tended experiment aimed at studying, analyzing, and evaluating the introduction of
OpenOffice in public institutions.
We suggest an extensive analysis of the application interoperability before a transi-
tion process. This would help the customization of the new solution according to the
end-user needs.
Acknowledgements
This work has been done with the help of the Autonome Provinz Bozen - Südtirol un-
der the extreme valuable supervision of Dr. H. Ladurner. The authors would also like
to acknowledge the help and support provided by Dr. Hugo Leiter, Director of the
EDP Unit of the Consortium of the Townships of the Province of Bolzano-Bozen.
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Open source software (OSS) has become a tendency for developing countries, like Kazakhstan, to improve their place in global level, particularly, in public sector. However, there are still factors that hold process of OSS adoption. This study is trying to determine these factors using Multiple Perspectives of OSS Appropriation (MPOSSA) model. Ministry of Oil and Gas of the Republic of Kazakhstan was chosen as a case study due to their high level of interest in adopting OSS.
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This paper provides a a framework to evaluate the transition to a OSS software solution in terms of returns and losses in the context of Public Administrations. The ultimate goal of the framework is to identify costs that are not easy to trace or that are not usually collected like user acceptance. The framework has been conducted using a Total Cost of Ownership approach, which is the most frequently used model to conduct cost comparisons between two or more IT systems. The study further implements the Goal Question Metric paradigm to identify the cost metrics. The framework relies various methods to collect the data, including questionnaires with end-users, qualitative interviews with IT-managers and company balance sheets. An example of framework's use is provided. etc.). The ultimate goal of our strategy is to compare costs of the old proprietary solution and the new OS solution. The methodology defines the key actions for evaluating the effectiveness of the transition to OS/ODS collected from the PAs and the indicators to be used to evaluate whether the transition generates returns or losses. Costs are collected during the three phases of the transition (before, during and after) to the new solution and summed up to get a total cost. The method provides questions and measures to build questionnaires for collecting information on costs relative to the use of a software solution. The costs gathered through the questionnaire or through other forms of data collection are then entered in the Total Cost of Ownership model (TCO). The TCO of the old solution is then compared with the TCO of the new solution at the break even point in which the new solution is stable, i.e., when personal productivity, work conditions, and quality of the internal and external services between before and after the transition are similar. The core method to measure these costs is based on a well known approach to derive measures form research goals, the Goal Question Metrics. To model costs in the old and new solution, the framework uses the Total Cost of
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