Designing Software Product Lines for Testability

Software product line (SPL) engineering offers several advantages in the development of families of software products such as reduced costs, high quality and a short time to market. A software product line is a set of software intensive systems, each of which shares a common core set of functionalities, but also differs from the other products through customization tailored to fit the needs of individual groups of customers. The differences between products within the family are well-understood and organized into a feature model that represents the variability of the SPL. Products can then be built by generating and composing features described in the feature model. Testing of software product lines has become a bottleneck in the SPL development lifecycle, since many of the techniques used in their testing have been borrowed from traditional software testing and do not directly take advantage of the similarities between products. This limits the overall gains that can be achieved in SPL engineering. Recent work proposed by both industry and the research community for improving SPL testing has begun to consider this problem, but there is still a need for better testing techniques that are tailored to SPL development. In this thesis, I make two primary contributions to software product line testing. First I propose a new definition for testability of SPLs that is based on the ability to re-use test cases between products without a loss of fault detection effectiveness. I build on this idea to identify elements of the feature model that contribute positively and/or negatively towards SPL testability. Second, I provide a graph based testing approach called the FIG Basis Path method that selects products and features for testing based on a feature dependency graph. This method should increase our ability to re-use results of test cases across successive products in the family and reduce testing effort. I report the results of a case study involving several non-trivial SPLs and show that for these objects, the FIG Basis Path method is as effective as testing all products, but requires us to test no more than 24% of the products in the SPL.

Guidelines for the Brazilian ceramic sector strategic development, based on a comparison with the Italian market

Based on a structured literature review, the ceramic tiles sector of Italy (benchmark) and Brazil (2nd world producer and consumer) are compared, under four strategic factors: normative, market, technology and strategic management, in order to identify critical risks for a national strategic sector. The document aims to propose guidelines for a strategic re-planning of the Brazilian ceramic tiles sector, making the Brazilian producers aware of the national market fragility (in spite of its recent remarkable evolution) and helping the policy makers to reflect on the need of reviewing the strategic planning methods and practice, of designing new targeted programs (based on coherence between operation and business strategies), of providing improved management to strengthen the sector against unfair competition by low-cost producers, enhancing the necessary infrastructure in technology, work, marketing and quality management. The analysis is limited to the single-firing production technology. The wide-coverage strategic analysis of the Brazilian ceramic tiles sector, very little studied until now in a scientific way, emphasizes the importance of applying research methodology and may be valuable to both scholars and practitioners. Additionally, it highlights the need of investments in innovation (product design and production technology) and the fundamental role of the sector organization, identifying different dimensions. It is possible to conclude that the recent Brazilian production growth is not due to a natural strengthening because of the hit of the sector and of correct enterprises strategy, but it seems the result of a temporary and favorable economic contingency.

Glycerol as a by-product of biodiesel production in Brazil: Alternatives for the use of unrefined glycerol

On January 1 2008, Brazil included yet another element into its energy matrix: biodiesel. The predominant biodiesel production process involves a phase of transesterification that yields glycerol as a by-product. The use of this glycerol is limited since it is considered an unrefined raw material that must be refined for its various types of use. Several studies have addressed identification of possible uses for unrefined glycerol. Given the diversity of uses, an overview is necessary. The purpose of this work is to present alternatives currently being considered for the use of unrefined glycerol as a by-product of biodiesel production, aiming to contribute to the sustainable consolidation of the biofuel market. Exploratory research was carried out to identify these viable alternatives for the use of this by-product. The possibilities include the production of chemical products, fuel additives, production of hydrogen, development of fuel cells, ethanol or methanol production, animal feed, co-digestion and co-gasification, and waste treatment among others. The present research reveals that there are promising possibilities for the use of unrefined glycerol, which may help consolidate the sustainability of the biofuel market. (C) 2012 Elsevier Ltd. All rights reserved.

The influence of career histories on team perfomance in new product development: a study of the video game industry

The purpose of this research is to contribute to the literature on organizational demography and new product development by investigating how diverse individual career histories impact team performance. Moreover we highlighted the importance of considering also the institutional context and the specific labour market arrangements in which a team is embedded, in order to interpret correctly the effect of career-related diversity measures on performance. The empirical setting of the study is the videogame industry, and the teams in charge of the development of new game titles. Video games development teams are the ideal setting to investigate the influence of career histories on team performance, since the development of videogames is performed by multidisciplinary teams composed by specialists with a wide variety of technical and artistic backgrounds, who execute a significant amounts of creative thinking. We investigate our research question both with quantitative methods and with a case study on the Japanese videogame industry: one of the most innovative in this sector. Our results show how career histories in terms of occupational diversity, prior functional diversity and prior product diversity, usually have a positive influence on team performance. However, when the moderating effect of the institutional setting is taken in to account, career diversity has different or even opposite effect on team performance, according to the specific national context in which a team operates.

Patent Strategies and R&D in Complex Product Industries

The study aims at providing a framework conceptualizing patenting activities under the condition of intellectual property rights fragmentation. Such a framework has to deal with the interrelated problems of technological complexity in the modern patent landscape. In that respect, ex-post licensing agreements have been incorporated into the analysis. More precisely, by consolidating the right to use patents required for commercialization of a product, private market solutions, such as cross-licensing agreements and patent pools help firms to overcome problems triggered by the intellectual property rights fragmentation. Thereby, private bargaining between parties as such cannot be isolated from the legal framework. A result of this analysis is that policies ignoring market solutions and only focusing on static gains can mitigate the dynamic efficiency gains as induced by the patent system. The evidence found in this thesis supports the opinion that legal reforms that aim to decrease the degree of patent protection or to lift it all together can hamper the functioning of the current system.

Price risk management in the copper market using commodity derivatives and options strategies

Metals price risk management is a key issue related to financial risk in metal markets because of uncertainty of commodity price fluctuation, exchange rate, interest rate changes and huge price risk either to metals’ producers or consumers. Thus, it has been taken into account by all participants in metal markets including metals’ producers, consumers, merchants, banks, investment funds, speculators, traders and so on. Managing price risk provides stable income for both metals’ producers and consumers, so it increases the chance that a firm will invest in attractive projects. The purpose of this research is to evaluate risk management strategies in the copper market. The main tools and strategies of price risk management are hedging and other derivatives such as futures contracts, swaps and options contracts. Hedging is a transaction designed to reduce or eliminate price risk. Derivatives are financial instruments, whose returns are derived from other financial instruments and they are commonly used for managing financial risks. Although derivatives have been around in some form for centuries, their growth has accelerated rapidly during the last 20 years. Nowadays, they are widely used by financial institutions, corporations, professional investors, and individuals. This project is focused on the over-the-counter (OTC) market and its products such as exotic options, particularly Asian options. The first part of the project is a description of basic derivatives and risk management strategies. In addition, this part discusses basic concepts of spot and futures (forward) markets, benefits and costs of risk management and risks and rewards of positions in the derivative markets. The second part considers valuations of commodity derivatives. In this part, the options pricing model DerivaGem is applied to Asian call and put options on London Metal Exchange (LME) copper because it is important to understand how Asian options are valued and to compare theoretical values of the options with their market observed values. Predicting future trends of copper prices is important and would be essential to manage market price risk successfully. Therefore, the third part is a discussion about econometric commodity models. Based on this literature review, the fourth part of the project reports the construction and testing of an econometric model designed to forecast the monthly average price of copper on the LME. More specifically, this part aims at showing how LME copper prices can be explained by means of a simultaneous equation structural model (two-stage least squares regression) connecting supply and demand variables. A simultaneous econometric model for the copper industry is built: {█(Q_t^D=e^((-5.0485))∙P_((t-1))^((-0.1868) )∙〖GDP〗_t^((1.7151) )∙e^((0.0158)∙〖IP〗_t ) @Q_t^S=e^((-3.0785))∙P_((t-1))^((0.5960))∙T_t^((0.1408))∙P_(OIL(t))^((-0.1559))∙〖USDI〗_t^((1.2432))∙〖LIBOR〗_((t-6))^((-0.0561))@Q_t^D=Q_t^S )┤ P_((t-1))^CU=e^((-2.5165))∙〖GDP〗_t^((2.1910))∙e^((0.0202)∙〖IP〗_t )∙T_t^((-0.1799))∙P_(OIL(t))^((0.1991))∙〖USDI〗_t^((-1.5881))∙〖LIBOR〗_((t-6))^((0.0717) Where, Q_t^D and Q_t^Sare world demand for and supply of copper at time t respectively. P(t-1) is the lagged price of copper, which is the focus of the analysis in this part. GDPt is world gross domestic product at time t, which represents aggregate economic activity. In addition, industrial production should be considered here, so the global industrial production growth that is noted as IPt is included in the model. Tt is the time variable, which is a useful proxy for technological change. A proxy variable for the cost of energy in producing copper is the price of oil at time t, which is noted as POIL(t ) . USDIt is the U.S. dollar index variable at time t, which is an important variable for explaining the copper supply and copper prices. At last, LIBOR(t-6) is the 6-month lagged 1-year London Inter bank offering rate of interest. Although, the model can be applicable for different base metals' industries, the omitted exogenous variables such as the price of substitute or a combined variable related to the price of substitutes have not been considered in this study. Based on this econometric model and using a Monte-Carlo simulation analysis, the probabilities that the monthly average copper prices in 2006 and 2007 will be greater than specific strike price of an option are defined. The final part evaluates risk management strategies including options strategies, metal swaps and simple options in relation to the simulation results. The basic options strategies such as bull spreads, bear spreads and butterfly spreads, which are created by using both call and put options in 2006 and 2007 are evaluated. Consequently, each risk management strategy in 2006 and 2007 is analyzed based on the day of data and the price prediction model. As a result, applications stemming from this project include valuing Asian options, developing a copper price prediction model, forecasting and planning, and decision making for price risk management in the copper market.

Presence in a Three-Dimensional Test Environment: Benefit or Threat to Market Research?

In market research, the adoption of interactive virtual reality-techniques could be expected to contain many advantages: artificial lab environments could be designed in a more realistic manner and the consideration of “time to the market”-factors could be improved. On the other hand, with an increasing degree of presence and the notional attendance in a simulated test environment, the market research task could fall prey to the tensing virtual reality adventure. In the following study a 3D-technique is empirically tested for its usability in market research. It will be shown that the interactive 3D-simulation is not biased by the immersion it generates and provides considerably better test results than 2D-stimuli do.

Emissions Control and the Regulation of Product Markets: The Case of Automobiles

The paper investigates alternative policies to regulate emissions from polluting product markets, specifically considering the case of the automobiles market. The two policies we consider are: a quota that limits the quantity produced of the polluting model and a more flexible average efficiency standard that requires a minimum energy efficiency across all models produced by a firm, similar to the US Corporate Average Fuel Economy (CAFE) standards. We use a duopoly model of vertical differentiation where firms produce both an economy (i.e., low polluting) version and a luxury (i.e., high polluting) version of a given product. We show that while a quota can raise firm profit over a certain range, CAFE always reduces firm profit relative to the pre-regulation. We also show that while the quota reduces emissions, it is possible that emissions increase under CAFE. The optimal policy choice will depend on the magnitude of unit damages. We show that when unit damages are sufficiently high, the quota policy is more efficient than the average efficiency standard. This suggests that instead of tightening CAFE to limit damages from emissions, policy makers can shift to a quota policy which is both welfare enhancing and more profitable for firms.

Chapter 5 Product Differentiation versus Geographical Differentiation: Evidence from the Pork Processing Industry in China

This chapter attempts to identify whether product differentiation or geographical differentiation is the main source of profit for firms in developing economies by employing a simple idea from the recently developed method of empirical industrial organization. Theoretically, location choice and product choice have been considered as analogues in differentiation, but in the real world, which of these strategies is chosen will result in an immense difference in firm behavior and in the development process of the industry. Development of the technique of empirical industrial organization enabled us to identify market outcomes with endogeneity. A typical case is the market outcome with differentiation, where price or product choice is endogenously determined. Our original survey contains data on market location, differences in product types, and price. The results show that product differentiation rather than geographical differentiation mitigates pressure on price competition, but 70 per cent secures geographical monopoly.

Development of land rental market and its effect on household farming in rural China : an empirical study in Zhejiang Province

This paper investigates the impact of land rental market development on the efficiency of labor allocation and land utilization in rural China. To test the hypothesis that the shadow wage of a rent-in household with limited off-farm opportunities will increase with the development of a land rental market for households, a statistical comparison between the shadow wage and the estimated market wage was conducted. The results showed that the shadow wage for both rent-in households and non-rent-in households was significantly lower than the market wage, but that the wage for the rent-in households was statistically higher than that for non-rent-in households in Fenghua and Deqing, the two counties surveyed in this study. In addition, the estimated marginal product of farmland for rent-in households was statistically higher than the actual land rent that those households paid, while a null hypothesis that the actual rental fee accepted by rent-out households is equivalent to the marginal product of farmland for those households was not rejected in Fenghua county where land transactions by mutual agreement were more prevalent. These results indicate that the development of the land rental market facilitates the efficiency of labor allocation and farmland utilization in rural China.

Impact of product-related environmental regulations in Asia : descriptive statistics from a survey of firms in Penang, Malaysia

This paper summarizes the main results of a unique firm survey conducted in Penang, Malaysia in 2012 on product-related environmental regulations. The results show that firms receiving foreign-direct investment have adapted well to regulations but faced more rejections. Several research questions are addressed and examined by using the survey data. Major findings are as follows. First, adaptation involves changes in input procurement and market diversification, which potentially changes the structure of supply chains. Second, belonging to global supply chains is a key factor in compliance, but this requires firms to meet tougher customer requirements. Third, there is much room for government policy to play a role in assisting firms.

Impact of product-related environmental regulations in Asia : descriptive statistics from a survey of firms in Vietnam

This paper summarizes the main results of a unique firm survey conducted in Vietnam in 2011 on product-related environmental regulations (PRERs). The results of this survey are compared with the results of a corresponding survey of firms in Penang, Malaysia (Michida, et al. 2014b). The major findings are as follows. First, adaptation to PRERs involves changes in input procurement and results in market diversification, which potentially alters the structure of supply chains. This finding is consistent with the Malaysian survey result. Second, connections to global supply chains are key to compliance, but this requires firms to meet more stringent customer requirements. Third, government policy can play an important role in assisting firms to comply with PRERs.

Is there any premium for unobservable quality? : a hedonic price analysis of the Malagasy rice market

This paper examines if consumers pay a premium for unobservable quality in the absence of quality standards and/or quality grading systems and, if so, how they assess that unobservable quality, using a rice retail market in Madagascar as an example. In Madagascar, the lack of quality standards and/or grading systems for rice makes is considered to be one of the causes of the rice market's spatial disintegration. Thus, quality standards and grading systems will be necessary to increase the market's efficiency. We hypothesize that consumers and retailers use product origin and rice name as observable indictors of unobservable quality and test the hypothesis using hedonic price regressions. We find that the interaction terms of product origin and rice name significantly affect the price after controlling for both observable quality and spatial and temporal price variation, but that the contribution of product origin and rice name to rice price variation is smaller than spatial and temporal factors. We thus conclude that consumers pay a premium for unobservable quality throughout Madagascar. This finding implies that quality standards and/or grading systems will work in the Malagasy market and that improving market infrastructure such as roads and storage will make them even more effective.

FPLA: a modeling framework for describing flexible software product line architecture

Nowadays, Software Product Line (SPL) engineering [1] has been widely-adopted in software development due to the significant improvements that has provided, such as reducing cost and time-to-market and providing flexibility to respond to planned changes [2]. SPL takes advantage of common features among the products of a family through the systematic reuse of the core-assets and the effective management of variabilities across the products. SPL features are realized at the architectural level in product-line architecture (PLA) models. Therefore, suitable modeling and specification techniques are required to model variability. In fact, architectural variability modeling has become a challenge for SPLE due to the fact that PLA modeling requires not only modeling variability at the level of the external architecture configuration (see [3,4] literature reviews), but also at the level of internal specification of components [5]. In addition, PLA modeling requires preserving the traceability between features and PLAs. Finally, it is important to take into account that PLA modeling should guide architects in modeling the PLA core assets and variability, and in deriving the customized products. To deal with these needs, we present in this demonstration the FPLA Modeling Framework.

Agile Product Inception: Framework Analysis and Support

In this dissertation, after testing that neither the definition of Agile methodologies, nor the current tools that support them, such as Scrum or XP, gave guidance for stages of software development prior to the definition of the first interaction of development; we proceeded to study the state of the art of Inception techniques, that is, techniques to deal with this early phase of the project, that would help guide its development. From the analysis of these Inception techniques, we defined what we considered as the essential properties of an Inception framework. With that list at hand, it was found that no current Inception framework supported all the features, also, we found that it did not exist, either, any software application on the market that did it. Finally, after checking the above gaps, we defined the Inception framework "Agile Incepti-ON", with all the practices necessary to meet the requirements specified above. In addition to this, a software application was developed to support the practices defined in the Inception framework, called "Agile Dojo".