Introducing Continuous Integration for C and C++ Software Development Projects on Linux Platform

Software integration is a stage in a software development process to assemble separate components to produce a single product. It is important to manage the risks involved and being able to integrate smoothly, because software cannot be released without integrating it first. Furthermore, it has been shown that the integration and testing phase can make up 40 % of the overall project costs. These issues can be mitigated by using a software engineering practice called continuous integration. This thesis work presents how continuous integration is introduced to the author's employer organisation. This includes studying how the continuous integration process works and creating the technical basis to start using the process on future projects. The implemented system supports software written in C and C++ programming languages on Linux platform, but the general concepts can be applied to any programming language and platform by selecting the appropriate tools. The results demonstrate in detail what issues need to be solved when the process is acquired in a corporate environment. Additionally, they provide an implementation and process description suitable to the organisation. The results show that continuous integration can reduce the risks involved in a software process and increase the quality of the product as well.

Coaching agile methods in research and development projects

Agile coaching of a project team is one way to aid learning of the agile methods. The objective of this thesis is to present the agile coaching plan and to follow how complying the plan affects to the project teams. Furthermore, the agile methods are followed how they work in the projects. Two projects are used to help the research. From the thesis point of view, the task for the first project is to coach the project team and two new coaches. The task for the second project is also to coach the project team, but this time so that one of the new coaches acts as the coach. The agile methods Scrum process and Extreme programming are utilized by the projects. In the latter, the test driven development, continuous integration and pair programming are concentrated more precisely. The results of the work are based on the observations from the projects and the analysis derived from the observations. The results are divided to the effects of the coaching and to functionality of the agile methods in the projects. Because of the small sample set, the results are directional. The presented plan, to coach the agile methods, needs developing, but the results of the functionality of the agile methods are encouraging.

Service innovation development and knowledge integration practices - a comparative case study on KIBS sector

Academic research on services and innovations on services has significantly grown during recent years. So far research concerning management of knowledge intensive work on service development activities is very limited. The objective of this study was to examine knowledge integration practices that support service innovation development and to the best of knowledge such studies have not been previously published in academic literature. In the theoretical part of the study a review of state‐of‐the‐art literature was conducted, research gap was indicated and a framework for analysis was built. In the empirical part an explorative comparative multi‐case study was carried out in KIBS sector. Four companies were selected and four service development projects were inspected. The service development activities and knowledge integration practices were identified. The cases were carefully compared and results formed. The empirical results indicated that service innovation development is partly linear and partly incremental flow of activities where knowledge integration practices have important role supporting the planning and execution of tasks. Knowledge integration practices supporting planning and workshops are close interaction, interpretation, project planning and sequencing of work tasks. The identified knowledge integration practices supporting building service solution were careful role and competence management, routines and common knowledge. The main implication is that to manage knowledge intensive service innovation development a firm should carefully develop and choose relevant knowledge integration practices to support the service development activities.

Modeling of residual stresses and distortion due to welding in fillet welds

Welding has a growing role in modern world manufacturing. Welding joints are extensively used from pipes to aerospace industries. Prediction of welding residual stresses and distortions is necessary for accurate evaluation of fillet welds in relation to design and safety conditions. Residual stresses may be beneficial or detrimental, depending whether they are tensile or compressive and the loading. They directly affect the fatigue life of the weld by impacting crack growth rate. Beside theoretical background of residual stresses this study calculates residual stresses and deformations due to localized heating by welding process and subsequent rapid cooling in fillet welds. Validated methods are required for this purpose due to complexity of process, localized heating, temperature dependence of material properties and heat source. In this research both empirical and simulation methods were used for the analysis of welded joints. Finite element simulation has become a popular tool of prediction of welding residual stresses and distortion. Three different cases with and without preload have been modeled during this study. Thermal heat load set is used by calculating heat flux from the given heat input energy. First the linear and then nonlinear material behavior model is modeled for calculation of residual stresses. Experimental work is done to calculate the stresses empirically. The results from both the methods are compared to check their reliability. Residual stresses can have a significant effect on fatigue performance of the welded joints made of high strength steel. Both initial residual stress state and subsequent residual stress relaxation need to be considered for accurate description of fatigue behavior. Tensile residual stresses are detrimental and will reduce the fatigue life and compressive residual stresses will increase it. The residual stresses follow the yield strength of base or filler material and the components made of high strength steel are typically thin, where the role of distortion is emphasizing.

Conventional and nonconventional Kramers-Kronig analysis in optical spectroscopy

This Master’s Thesis is dedicated to the investigation and testing conventional and nonconventional Kramers-Kronig relations on simulated and experimentally measured spectra. It is done for both linear and nonlinear optical spectral data. Big part of attention is paid to the new method of obtaining complex refractive index from a transmittance spectrum without direct information of the sample thickness. The latter method is coupled with terahertz tome-domain spectroscopy and Kramers-Kronig analysis applied for testing the validity of complex refractive index. In this research precision of data inversion is evaluated by root-mean square error. Testing of methods is made over different spectral range and implementation of this methods in future is considered.

Adaptive Markov chain Monte Carlo and Bayesian filtering for state space models

This thesis is concerned with the state and parameter estimation in state space models. The estimation of states and parameters is an important task when mathematical modeling is applied to many different application areas such as the global positioning systems, target tracking, navigation, brain imaging, spread of infectious diseases, biological processes, telecommunications, audio signal processing, stochastic optimal control, machine learning, and physical systems. In Bayesian settings, the estimation of states or parameters amounts to computation of the posterior probability density function. Except for a very restricted number of models, it is impossible to compute this density function in a closed form. Hence, we need approximation methods. A state estimation problem involves estimating the states (latent variables) that are not directly observed in the output of the system. In this thesis, we use the Kalman filter, extended Kalman filter, Gauss–Hermite filters, and particle filters to estimate the states based on available measurements. Among these filters, particle filters are numerical methods for approximating the filtering distributions of non-linear non-Gaussian state space models via Monte Carlo. The performance of a particle filter heavily depends on the chosen importance distribution. For instance, inappropriate choice of the importance distribution can lead to the failure of convergence of the particle filter algorithm. In this thesis, we analyze the theoretical Lᵖ particle filter convergence with general importance distributions, where p ≥2 is an integer. A parameter estimation problem is considered with inferring the model parameters from measurements. For high-dimensional complex models, estimation of parameters can be done by Markov chain Monte Carlo (MCMC) methods. In its operation, the MCMC method requires the unnormalized posterior distribution of the parameters and a proposal distribution. In this thesis, we show how the posterior density function of the parameters of a state space model can be computed by filtering based methods, where the states are integrated out. This type of computation is then applied to estimate parameters of stochastic differential equations. Furthermore, we compute the partial derivatives of the log-posterior density function and use the hybrid Monte Carlo and scaled conjugate gradient methods to infer the parameters of stochastic differential equations. The computational efficiency of MCMC methods is highly depend on the chosen proposal distribution. A commonly used proposal distribution is Gaussian. In this kind of proposal, the covariance matrix must be well tuned. To tune it, adaptive MCMC methods can be used. In this thesis, we propose a new way of updating the covariance matrix using the variational Bayesian adaptive Kalman filter algorithm.

Social Solidarity and Fear of Crime - Community and Individual Approaches in Responses to Mass Violence after School Shootings

The aim of this study was to examine community and individual approaches in responses to mass violence after the school shooting incidents in Jokela (November 2007) and Kauhajoki (September 2008), Finland. In considering the community approach, responses to any shocking criminal event may have integrative, as well as disintegrative effects, within the neighborhood. The integration perspective argues that a heinous criminal event within one’s community is a matter of offence to collectively held feelings and beliefs, and increases perceived solidarity; whereas the disintegration perspective suggests that a criminal event weakens the social fabric of community life by increasing fear of crime and mistrust among locals. In considering the individual approach, socio-demographic factors, such as one’s gender, are typically significant indicators, which explain variation in fear of crime. Beyond this, people are not equally exposed to violent crime and therefore prior victimization and event related experiences may further explain why people differ in their sensitivity to risk from mass violence. Finally, factors related to subjective mental health, such as depressed mood, are also likely to moderate individual differences in responses to mass violence. This study is based on the correlational design of four independent cross-sectional postal surveys. The sampling frames (N=700) for the surveys were the Finnish speaking adult population aged 18–74-years. The first mail survey in Jokela (n=330) was conducted between May and June 2008, approximately six months from the shooting incident at the local high-school. The second Jokela survey (n=278) was conducted in May–June of 2009, 18 months removed from the incident. The first survey in Kauhajoki (n=319) was collected six months after the incident at the local University of Applied Sciences, March– April 2009, and the second (n=339) in March–April 2010, approximately 18 months after the event. Linear and ordinal regression and path analysis are used as methods of analyses. The school shootings in Jokela and Kauhajoki were extremely disturbing events, which deeply affected the communities involved. However, based on the results collected, community responses to mass violence between the two localities were different. An increase in social solidarity appears to apply in the case of the Jokela community, but not in the case of the Kauhajoki community. Thus a criminal event does not necessarily impact the wider community. Every empirical finding is most likely related to different contextual and event-specific factors. Beyond this, community responses to mass violence in Jokela also indicated that the incident was related to a more general sense of insecurity and was also associating with perceived community deterioration and further suggests that responses to mass violence may have both integrating and disintegrating effects. Moreover, community responses to mass violence should also be examined in relation to broader social anxieties and as a proxy for generalized insecurity. Community response is an emotive process and incident related feelings are perhaps projected onto other identifiable concerns. However, this may open the door for social errors and, despite integrative effects, this may also have negative consequences within the neighborhood. The individual approach suggests that women are more fearful than men when a threat refers to violent crime. Young women (aged 18–34) were the most worried age and gender group as concerns perception of threat from mass violence at schools compared to young men (aged 18–34), who were also the least worried age and gender group when compared to older men. It was also found that concerns about mass violence were stronger among respondents with the lowest level of monthly household income compared to financially better-off respondents. Perhaps more importantly, responses to mass violence were affected by the emotional proximity to the event; and worry about the recurrence of school shootings was stronger among respondents who either were a parent of a school-aged child, or knew a victim. Finally, results indicate that psychological wellbeing is an important individual level factor. Respondents who expressed depressed mood consistently expressed their concerns about mass violence and community deterioration. Systematic assessments of the impact of school shooting events on communities are therefore needed. This requires the consolidation of community and individual approaches. Comparative study designs would further benefit from international collaboration across disciplines. Extreme school violence has also become a national concern and deeper understanding of crime related anxieties in contemporary Finland also requires community-based surveys.

Adopting the Vaadin Java framework to rebuild VTT’s Web Interfaces and Database Applications

With the growth in new technologies, using online tools have become an everyday lifestyle. It has a greater impact on researchers as the data obtained from various experiments needs to be analyzed and knowledge of programming has become mandatory even for pure biologists. Hence, VTT came up with a new tool, R Executables (REX) which is a web application designed to provide a graphical interface for biological data functions like Image analysis, Gene expression data analysis, plotting, disease and control studies etc., which employs R functions to provide results. REX provides a user interactive application for the biologists to directly enter the values and run the required analysis with a single click. The program processes the given data in the background and prints results rapidly. Due to growth of data and load on server, the interface has gained problems concerning time consumption, poor GUI, data storage issues, security, minimal user interactive experience and crashes with large amount of data. This thesis handles the methods by which these problems were resolved and made REX a better application for the future. The old REX was developed using Python Django and now, a new programming language, Vaadin has been implemented. Vaadin is a Java framework for developing web applications and the programming language is extremely similar to Java with new rich components. Vaadin provides better security, better speed, good and interactive interface. In this thesis, subset functionalities of REX was selected which includes IST bulk plotting and image segmentation and implemented those using Vaadin. A code of 662 lines was programmed by me which included Vaadin as the front-end handler while R language was used for back-end data retrieval, computing and plotting. The application is optimized to allow further functionalities to be migrated with ease from old REX. Future development is focused on including Hight throughput screening functions along with gene expression database handling

Monitoimipystysorvin NC- ohjelmoinnin kehittäminen CAM käyttöönotolla

Diplomityön tavoitteena oli tehostaa venttiilipesien koneistuksessa käytettävän monitoimipystysorvin NC - ohjelmointia CAM - ohjelman käyttöönotolla. Tutkimus on osa laajempaa kokonaisuutta liittyen koneistusalihankinnan kehittämiseen ja yrityksen kilpailukyvyn ylläpitoon ja parantamiseen liiketoiminta-alueella, jolla on tällä hetkellä hyvät kasvunäkymät. Tavoite rajattiin yritykseen jo aiemmin hankitun WinCAM - ohjelman päivittämiseen ja hyödyntämiseen monitoimipystysorvin NC - ohjelmoinnissa. Tutkimuksen käytännön tavoitteena oli selvittää CAM - ohjelmoinnin käyttömahdollisuudet, sekä luoda CAM - ohjelmistoon pohjautuva, räätälöity NC - ohjelmointikonsepti pilottikohteeseen. Tutkimuksen kokeellisen osuuden muodostivat tällöin nykyisen tuotannon ongelmakohtien löytäminen, koneen ohjelmointitarpeiden kartoitus,sekä menetelmäkehitys. Tutkimuksen päämääränä oli tuotannon tasolla käytettävä järjestelmä, jolla koneen ohjelmointi olisi mahdollista myös vähemmällä konekohtaisella kokemuksella. Nykyisen toimintatavan ongelmina olivat yhtenäisen NC - ohjelmointikäytännön puute, niin valmiiden ohjelmien käytössä kuin uusienkin ohjelmien tekemisessä. Tähän olivat syynä NC - ohjauksen heikko käytettävyys erityisesti sorvauksen osalta. Nämä tekijät yhdistettynä monitoimityöstökoneessa tarvittavaan koordinaatiston hallintaan vaikeuttivat ohjelmointia. Työntekijäkohtaiset erot NC - ohjelmien käytössä, sekä laadultaan vaihtelevat valuaihiot aiheuttivat tuotannon läpäisyaikaan merkittävää vaihtelua. Siten myös koneen kuormituksen säätely oli vaikeaa. Uuden ohjelmointikonseptin toteutuksessa pidettiin etusijalla hyvää käytettävyyttä, sekä uuden menetelmän aukotonta liittymistä olemassa oleviin tuotantojärjestelmiin. Ohjelmointikonseptin toteutuksessa, osaperheestä haettiin selkeästi parametroitaviksi soveltuvat työvaiheet, jotka voitiin hallita yleiskäyttöisillä aliohjelmilla. Tuotteiden muidengeometrioiden hallintaan laadittiin geometriakirjasto, jota voitiin käyttää tavanomaisen graafisen ohjelmoinnin pohjana. Vanhaa toimintatapaa ja diplomityön aikana kehitettyä CAM - ohjelmointijärjestelmää vertailtiin perustuen NC - ohjelmien tehokkuuteen, jota tarkasteltiin saman työvaiheen työstöaikaan perustuen. Tämän lisäksi tärkeän tuloksen muodostavat myös kvalitatiivisetseikat, jotka liittyvät ohjelmointiympäristön käytettävyyteen. CAM - ohjelmoinnin kehittäminen ja käyttöönotto pilottikohteessa sujui pääosin hyvin ja laaditunsuunnitelman mukaisesti. Aiemmin hankalasti ohjelmoitavat työvaiheet, kuten erilaisten laippatasopintojen ja reikäpiirien ohjelmointi muutettiin makrokäyttöön soveltuviksi. Sorvauksessa ongelmia aiheuttaneen tiivistelilan koneistukseen sovellettiin graafista ohjelmointia. Koko tuotannon mittakaavassa NC - ohjelmoinninosuus oli kuitenkin vähäinen, mistä johtuen koneen tuottavuuteen ei tutkimuksenajanjaksolla voitu vaikuttaa. Sen sijaan tuotannon sujuvuuteen oleellisesti vaikuttavaa työtekijöiden 'hiljaisen tiedon' määrää voitiin vähentää vakioimalla ohjelmointia ja siirtämällä tehokkaiksi havaitut menetelmät ohjelmointijärjestelmään.

Quantile Estimation in Non-Stationary Streaming Data

We provide an incremental quantile estimator for Non-stationary Streaming Data. We propose a method for simultaneous estimation of multiple quantiles corresponding to the given probability levels from streaming data. Due to the limitations of the memory, it is not feasible to compute the quantiles by storing the data. So estimating the quantiles as the data pass by is the only possibility. This can be effective in network measurement. To provide the minimum of the mean-squared error of the estimation, we use parabolic approximation and for comparison we simulate the results for different number of runs and using both linear and parabolic approximations.

Modeling information in software languages

Ohjelmiston kehitystyökalut käyttävät infromaatiota kehittäjän tuottamasta lähdekoodista. Informaatiota hyödynnetään ohjelmistoprojektin eri vaiheissa ja eri tarkoituksissa. Moderneissa ohjelmistoprojekteissa käytetyn informaation määrä voi kasvaa erittäin suureksi. Ohjelmistotyökaluilla on omat informaatiomallinsa ja käyttömekanisminsa. Informaation määrä sekä erilliset työkaluinformaatiomallit tekevät erittäin hankalaksi rakentaa joustavaa työkaluympäristöä, erityisesti ongelma-aluekohtaiseen ohjelmiston kehitysprosessiin. Tässä työssä on analysoitu perusinformaatiometamalleja Unified Modeling language kielestä, Python ohjelmointikielestä ja C++ ohjelmointikielestä. Metainformaation taso on rajoitettu rakenteelliselle tasolle. Ajettavat rakenteet on jätetty pois. ModelBase metamalli on yhdistetty olemassa olevista analysoiduista metamalleista. Tätä metamallia voidaan käyttää tulevaisuudessa ohjelmistotyökalujen kehitykseen.

A computationally efficient shear deformable beam element for large deformation multibody applications

In this paper, a new two-dimensional shear deformable beam element based on the absolute nodal coordinate formulation is proposed. The nonlinear elastic forces of the beam element are obtained using a continuum mechanics approach without employing a local element coordinate system. In this study, linear polynomials are used to interpolate both the transverse and longitudinal components of the displacement. This is different from other absolute nodal-coordinate-based beam elements where cubic polynomials are used in the longitudinal direction. The accompanying defects of the phenomenon known as shear locking are avoided through the adoption of selective integration within the numerical integration method. The proposed element is verified using several numerical examples, and the results are compared to analytical solutions and the results for an existing shear deformable beam element. It is shown that by using the proposed element, accurate linear and nonlinear static deformations, as well as realistic dynamic behavior, can be achieved with a smaller computational effort than by using existing shear deformable two-dimensional beam elements.

Dynamic Model of a Small Once-Through Boiler

In this study, a model for the unsteady dynamic behaviour of a once-through counter flow boiler that uses an organic working fluid is presented. The boiler is a compact waste-heat boiler without a furnace and it has a preheater, a vaporiser and a superheater. The relative lengths of the boiler parts vary with the operating conditions since they are all parts of a single tube. The present research is a part of a study on the unsteady dynamics of an organic Rankine cycle power plant and it will be a part of a dynamic process model. The boiler model is presented using a selected example case that uses toluene as the process fluid and flue gas from natural gas combustion as the heat source. The dynamic behaviour of the boiler means transition from the steady initial state towards another steady state that corresponds to the changed process conditions. The solution method chosen was to find such a pressure of the process fluid that the mass of the process fluid in the boiler equals the mass calculated using the mass flows into and out of the boiler during a time step, using the finite difference method. A special method of fast calculation of the thermal properties has been used, because most of the calculation time is spent in calculating the fluid properties. The boiler was divided into elements. The values of the thermodynamic properties and mass flows were calculated in the nodes that connect the elements. Dynamic behaviour was limited to the process fluid and tube wall, and the heat source was regarded as to be steady. The elements that connect the preheater to thevaporiser and the vaporiser to the superheater were treated in a special way that takes into account a flexible change from one part to the other. The model consists of the calculation of the steady state initial distribution of the variables in the nodes, and the calculation of these nodal values in a dynamic state. The initial state of the boiler was received from a steady process model that isnot a part of the boiler model. The known boundary values that may vary during the dynamic calculation were the inlet temperature and mass flow rates of both the heat source and the process fluid. A brief examination of the oscillation around a steady state, the so-called Ledinegg instability, was done. This examination showed that the pressure drop in the boiler is a third degree polynomial of the mass flow rate, and the stability criterion is a second degree polynomial of the enthalpy change in the preheater. The numerical examination showed that oscillations did not exist in the example case. The dynamic boiler model was analysed for linear and step changes of the entering fluid temperatures and flow rates.The problem for verifying the correctness of the achieved results was that there was no possibility o compare them with measurements. This is why the only way was to determine whether the obtained results were intuitively reasonable and the results changed logically when the boundary conditions were changed. The numerical stability was checked in a test run in which there was no change in input values. The differences compared with the initial values were so small that the effects of numerical oscillations were negligible. The heat source side tests showed that the model gives results that are logical in the directions of the changes, and the order of magnitude of the timescale of changes is also as expected. The results of the tests on the process fluid side showed that the model gives reasonable results both on the temperature changes that cause small alterations in the process state and on mass flow rate changes causing very great alterations. The test runs showed that the dynamic model has no problems in calculating cases in which temperature of the entering heat source suddenly goes below that of the tube wall or the process fluid.

Joustavan robotisoidun särmäyssolun käyttöönotto levytuotetahtaalla

Diplomityön ensimmäisenä tavoitteena on selvittää robotisoidun särmäyssolun tehokkaimmat käyttöalueet särmättävien kappaleiden muotojen ja laitteiston teknisten edellytysten perusteella. Toisena tavoitteena on tuoda esille robotisoidun särmäyssolun käyttöönottoon liittyviä ongelmia ja antaa käytännön ohjeita niiden ratkaisemiseksi. Tuloksia sovelletaan jatkossa kohdeyrityksen markkinoiman särmäyssolun tuotekehitykseen. Särmäyksen automatisoinnin pääpiirteitä tarkastellaan tutkimalla markkinoilla olevien robottisolujen toimintaperiaatteita ja ohjelmointitapoja. Työssä on myös esitetty kohdeyrityksen omat tavoitteet ja lähtökohdat särmäysmenetelmien kehittämiseen, joista tärkeimmät ovat integroitavuus joustavaan valmistusjärjestelmään ja solun kehittäminen myyntiartikkeliksi. Työssä esitellään robotisoidun särmäyssolun toimintaa kuvaamalla työkierron toiminnot pääpiirteissään. Samassa yhteydessä esitellään myös solun konekanta sekä koneiden välillä tapahtuva tiedon siirto. Erityisenä mielenkiinnon kohteena ovat olleet joustavan valmistusjärjestelmän soluohjaimen toiminnot ja särmäyssolun toimivuus FMS:n osana. Analyyttisessä osuudessa tutkitaan kappaleiden särmättävyyttä robotisoidussa tuotantoratkaisussa. Lähtökohdaksi on otettu särmäyspuristimen, robotin, lisälaitteiden ja kappaleen muotojen asettamat rajoitukset sekä toisaalta robotisoinnin tuomat uudet mahdollisuudet. Tulosten perusteella robotisointi soveltuu parhaiten painaville tai monimutkaisille kappaleille, joiden manuaalisärmäys vie paljon aikaa. Taloudellisia käyttöalueita kartoitettiin tutkimalla eräkokoon, ohjelmointiajan, kappaleajan ja särmien määrän vaikutusta valmistuskustannuksiin. Robotisoinnin on todettu kannattavan yrityksissä, joissa sarjat ovat usein toistuvia ja eräkoot yli 150 kappaleen suuruisia. Kappaleen muoto ja särmien määrä vaikuttaa monin tavoin kappaleaikaan ja siten myös valmistuskustannuksiin. Robotisoinnin kannattavuutta on näissä tapauksissa arvioitava aina tapauskohtaisesti työkierron vaatimien toimintojen perusteella.

Alkuaineanalysaattorin keskusyksikön suunnittelu ja toteutus

Tässä diplomityössä esitellään jatkuvatoimisen alkuaineanalysaattorin kehitykseen liittyvän projektin alkuosa. Tässä osuudessa on tarkoituksena löytää analysaattorin vanhalle keskusyksikölle uusi korvaava kaupallinen prosessorikortti sekä suunnitella ja toteuttaa uudelle keskusyksikölle analysaattorin toiminnan vaatima ohjelma. Hihna-analysaattori on sulautettu reaaliaikajärjestelmä. Työssä esitellään sulautetun järjestelmän suunnittelun ja toteutuksen yleisiä toimintatapoja ja ratkaisuja. Erilaisista toteutusvaihtoehdoista esitellään niiden etuja ja haittoja. Työn toteutuksessa käytetään PC/104-standardin mukaisia valmiita kaupallisia yksiköitä. Tämä ISA-standardin laajennus soveltuu hyvin käytettäväksi sulautetussa järjestelmissä. Uudella keskusyksiköllä on mahdollista liittyä analysaattorin jäljelle jääviin yksiköihin erillisen sovitinkortin välityksellä. Työn lopputuloksena valittu toteutusratkaisu mahdollistaa analysaattorijärjestelmän vapaan jatkokehityksen, mikä ei ollut mahdollista vanhalla toteutuksella. Analysaattoriin on nyt mahdollista kehittää uusia ominaisuuksia, ja lisäksi sen nykyinen toiminta on hallitaan paremmin.