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benefit (even if we could suppose that the integration tool avoids coding all the algorithmic portion). Our experience in the implementation of application integration solutions allows us to define and quantify the benefits with respect to a classic solution on the three following focus points: development/maintenance workload; operating workload; improvement in the quality of service. 9.2.2. Equations: maintaining the language of integration The annual benefit to the workload of development/maintenance with respect to classic development can be expressed initially by the Equation for Gains in Maintenance: EGM = Gmin + (Gvar *ModRate * (100 -%3GL)/100) where: Gmin is the minimum benefit observed compared to classic development (due to the common approach of interface parameterization which an application integration solution provides). Its average value is 0.2 or 20%. Its maximum value is 0.4. Gvar is the plate on which are poised the benefits linked to the type of language used and to the annual percentage of modification to the parameter settings. Gvar = (1 - Gmin). Its average value is then 0.8. ModRate specifies the percentage of annual modification to the parameter settings of the application integration solution. %3GL is the percentage of use of a third-generation language (C, Java, COBOL, etc.) set in the solution parameter settings. By directly applying the average values of Gmin and therefore Gvar, the EGM resulted in the following Equation for Gains in Maintenance: Simplified version: EGMS = 0.2 + (0.8 *ModRate * (100 -%3GL)/100)

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9.2.2.1. Value of the EGMS with a high-level parameter language Where 20% of the parameter settings are modified each year, and where a thirdgeneration language is used for only 20% of the total parameter settings in the application integration solution, the benefit is as follows: EGMS = 0.2 + (0.8 *0.2 * (100 - 20)/100) = 0.33 or 33% 9.2.2.2. Value of EGMS with a 3GL for parameters For a rate of modification to parameter settings of 20% per year, and the use of a third-generation language to ensure 80% of the total parameter settings in the application integration solution, the benefit is as follows: EGMS = 0.2 + (0.8 *0.2 * (100 - 80)/100) = 0.23 or 23% The EGMS gives indicative values, providing orders of magnitude that can sometimes be used to compare specific application integration solutions. At the same time, if we wanted to be more specific, we cling to using the full EGM instead, and produce a specific value for Gmin. This value oscillates between 10% and 40% (0.1 to 0.4). Its value is principally a function of: the number of applications and the daily dataflows to be processed; the degree of dispersal of the applications within the infrastructure; the degree of duplication of parameter settings in the integration solution. It takes its optimal value, i.e., 0.4 or 40%, in the case of the generalized use of an application integration solution applied to the information systems of large enterprises, for one of: a number of applications greater than 150; a distribution of the applications over more than 50 machines; a number of dataflows to be processed daily in excess of 2,000 files or 100,000 messages modification; a degree of reuse of parameter settings of at least 20%. In this case, the EGM is equal to: EGM = 0.4 + (0.6 *0.2 * (100 - 20)/100) = roughly 0.5 or 50%

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9.2.3. Operational workload gains through centralized supervision Benefits in terms of operation should not be looked for in functions for routing, checking, transforming and enriching, but rather in the contributions around technical supervision of the application integration solution, reducing the manual workload by verifying that dataflows have correctly been made available.26 The more dataflows that must be managed between applications, the more those applications will be dispersed inside the extended enterprise on heterogenous and remote machines, and the greater the benefits conferred by centralized supervision of the dataflows. We can use the following equation to quantify the number of person/days of operation freed (NbDF) by the integration solution: NbDF = NbPD * (f(NbSites) + f (NbDataflows)) where: NbPD: number of person/days dedicated to manual surveillance of flows;27 NbSites: number of machines supervised by the integration solution; NbDataflows: number of flows exchanged daily by the integration solution. The functions f and f applied respectively to the parameters NbSites and NbDataflows are exponential (x) then logarithmic (x), where x represents respectively NbSites or NbDataflows. Some discrete values of these functions product of our experience are indicated below and allow the calculation of the number of days of operation freed up.

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26 We presuppose here that we mostly have to supervise file dataflows. 27 In some large enterprises, thousands of person/days each year can be dedicated to tracking

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